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University of Cambridge > Talks.cam > Small public lecture room, Microsoft Research Ltd, 7 J J Thomson Avenue (Off Madingley Road), Cambridge
Small public lecture room, Microsoft Research Ltd, 7 J J Thomson Avenue (Off Madingley Road), Cambridge
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If you have a question about this list, please contact: . If you have a question about a specific talk, click on that talk to find its organiser. 0 upcoming talks and 126 talks in the archive. Microsoft Research Machine Learning and Perception Seminars From motion capture of interacting hands to video based rendering.This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars Spectral Edge: Making the Invisible VisibleThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars Towards ad hoc interactions with robotsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars From the Information Extraction Pipeline to Global Models, and BackThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars Capture of dynamic scene using multiple cameras provides rich spatial-temporal information that can be used for solving challenging computer vision problems.This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars Tell Me Where You’ve Lived and What You Want -- I’ll Tell You What You Like and NeedThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars Latent Hough Transform for Object DetectionThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars Context sensitive information: Which bits matter in data?This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars SmartDesign: Living with Geometric ComplexityThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars Part A: Non-parametric image optimization & Part B: Crowdsourcing gaze data collectionThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars The Inverted Multi-IndexThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars Topic Models for Human Activity UnderstandingThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars ORCHID: Human-agent collectives for disaster response and the smart grido This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attendin
Microsoft Research Machine Learning and Perception Seminars Sequential Decision Making in Experimental Design and Sustainability via Adaptive SubmodularityThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars Exploiting Variable Impedance for Robotics: Mimic or Optimize?This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars Closing the gap between weakly and fully supervised methodsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars Beyond the Piece of Cardboard: Learning to Adjust PhotographsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars PARIS: Probabilistic Alignment of Relations, Instances, and SchemaThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars Probabilistic programs and the computability and complexity of Bayesian reasoningThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars Exclusive Pólya Urns and their applicationso This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attendin
Microsoft Research Machine Learning and Perception Seminars Information-Greedy Global OptimisationThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars Mechanism Design without Money via Stable MatchingThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars SocialFusion: Fusing Mobile, Sensor, and Social Computing in the Cloud To Enable Next-Generation Context-Aware ApplicationsThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars Principles of Humanoid Locomotion ControlThis event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Microsoft Research Machine Learning and Perception Seminars Enforcing topological constraints in energy-based image segmentation
Microsoft Research Machine Learning and Perception Seminars On a first-order primal-dual algorithm with applications to convex problems in computer vision
Microsoft Research Machine Learning and Perception Seminars Handling temporal variation of unknown characteristics in streaming data analysis.
Microsoft Research Machine Learning and Perception Seminars Bayesian Inference with Kernels
Microsoft Research Cambridge, public talks Bayesian Inference with Kernels
Microsoft Research Cambridge, public talks Statistical Significance Analysis of Motif Discovery
Microsoft Research Machine Learning and Perception Seminars Affective Technology
Microsoft Research Cambridge, public talks Probabilistic models for time-series with different underlying dynamics regimes with application to robot imitation learning
Microsoft Research Cambridge, public talks Engineering Genetic Circuits
Microsoft Research Cambridge, public talks Food Webs, and how they got that way
Microsoft Research Cambridge, public talks SSH: A Case Study of Cryptography in Theory and Practice
Microsoft Research Cambridge, public talks Testing and fault localization in constraint programs
Microsoft Research Cambridge, public talks Towards Systematic Design of Enterprise Networks
Microsoft Research Cambridge, public talks Noise and the two-thirds power law
Microsoft Research Cambridge, public talks Frugality in set-system auctionsEdith Elkind, Nanyang Technological University, Singapore
Microsoft Research Cambridge, public talks The Little Engine(s) that could: Scaling Online Social Networks
Microsoft Research Cambridge, public talks Search methods based on Monte-Carlo simulation
Microsoft Research Cambridge, public talks Information Asymmetries in Pay-Per-Bid Auctions: How Swoopo Makes Bank
Microsoft Research Cambridge, public talks Post-Silicon Validation: New Frontiers for Formal Verification Research
Microsoft Research Cambridge, public talks Using transformed domains to sparsify Gaussian Processes
Microsoft Research Cambridge, public talks Using transformed domains to sparsify Gaussian Processes
Microsoft Research Cambridge, public talks How can we use digital pens in a collaborative environment?
Microsoft Research Cambridge, public talks Symbolic Techniques in Propositional Satisfiability Solving
Microsoft Research Cambridge, public talks Images as Sets of Locally Weighted Features
Microsoft Research Cambridge, public talks Hermes: Clustering Users in Large-Scale E-mail Services
Microsoft Research Cambridge, public talks Practical performance models for complex, popular applications
Microsoft Research Cambridge, public talks Before pixels
Microsoft Research Cambridge, public talks A proof rule for multi-threaded programs
Microsoft Research Cambridge, public talks Prof. Robert Nowak, University of Wisconsin; MSR Lectures
Microsoft Research Cambridge, public talks Derek Dreyer, MPI-SWS; Microsoft Research Lectures
Microsoft Research Cambridge, public talks On Bayes-Nash implementation of combinatorial auctions: structure and efficiency
Microsoft Research Cambridge, public talks Abstract Interpretation for Liveness using Metric Spaces
Microsoft Research Cambridge, public talks Static Verification of Concurrent Programs using Reduction and Abstraction
Microsoft Research Cambridge, public talks The State of Secondary Level Computer Science Education in the USA
Microsoft Research Cambridge, public talks Incremental Modelling and Verification of the PCI Express Transaction and Data-Link Layers
Microsoft Research Cambridge, public talks A comparison of some recent task-centric parallel programming models
Microsoft Research Cambridge, public talks Secrets of the Microsoft SQL Server Query Optimizer
Microsoft Research Cambridge, public talks Building Algorithms for FPGAs
Microsoft Research Cambridge, public talks Learning, Planning and Representing Knowledge from Primitive Experience
Microsoft Research Cambridge, public talks Submodularity and Valued Constraint Satisfaction Problems
Microsoft Research Cambridge, public talks Opportunistic Spectrum Access with Multiple Users: Learning under Competition
Microsoft Research Cambridge, public talks Sparse Model Recovery via Iterative Algorithms
Microsoft Research Cambridge, public talks Proactive Resilience Revisited: Resisting Intrusions means more than Byzantine Fault Tolerance
Microsoft Research Cambridge, public talks Incremental Modelling and Verification of the PCI Express Transaction and Data-Link Layers
Microsoft Research Cambridge, public talks Abandoning Prenex Clausal Normal Form in QBF Solving
Microsoft Research Cambridge, public talks Michael Weber, University of Twente; Microsoft Research Lectures
Microsoft Research Cambridge, public talks Datalog+/- : A Framework for Tractable Query Answering over Ontologies
Microsoft Research Cambridge, public talks Stationary Subspace Analysis
Microsoft Research Cambridge, public talks You are not a gadget
Microsoft Research Cambridge, public talks L_p-Spherically Symmetric and L_p-nested Distributions for Patches of Natural Images
Microsoft Research Cambridge, public talks Efficient Bayesian Model Comparison with Differential Equations: a Population MCMC Approach via the Thermodynamic Integral
Microsoft Research Cambridge, public talks Riemannian Manifold Hamiltonian Monte Carlo
Microsoft Research Cambridge, public talks Inferring Signaling Pathway Topologies from Multiple Perturbation Measurements of Specific Biochemical Species : A model-based approach
Microsoft Research Cambridge, general interest public talks Predicting biological functions at different spatial scales: From molecules to ecosystems
Microsoft Research Cambridge, public talks Proving the Correctness of Abstract Concurrency Control and Recovery
Microsoft Research Cambridge, public talks Nesting Transactions: Why and What Do We Need?
Microsoft Research Cambridge, general interest public talks Statistical network analysis in computational genomics
Microsoft Research Cambridge, general interest public talks Machine Learning Reveals the Genetic Code Controlling Splicing
Microsoft Research Cambridge, public talks Towards focusing research and innovations on local needs: If wireless technologies are to connect the wireless continent
Microsoft Research Cambridge, general interest public talks From Verification to Synthesis
Microsoft Research Cambridge, public talks Learning Deep Architectures
Microsoft Research Cambridge, public talks Cops, Crops and Mobile Phones: Machine Learning in Africa
Microsoft Research Summer School Enabling intelligent management of the environment
Microsoft Research Summer School Systems and networking research at MSR Cambridge
Microsoft Research Summer School The executable pathway to biological networks
Microsoft Research Cambridge, public talks Towards a Network Measurement Science
CoSBi Computational and Systems Biology Series Analyzing the effect of noise on various models of Circadian Clock and Cell Cycle coupling
CoSBi Computational and Systems Biology Series Topological keystone species: network analysis in modern systems ecology
Microsoft Research Cambridge, general interest public talks Towards disposable healthcare devices: a paradigm shift
CoSBi Computational and Systems Biology Series Complexity and Robustness in Colonies of Agents: A Formal Languages and a Game Theory Approach
Microsoft Research Cambridge, general interest public talks Domain Knowledge Driven Program Analysis
Microsoft Research Cambridge, general interest public talks Robot Scientists and the automated scientific laboratory
CoSBi Computational and Systems Biology Series Study disease-causing genes based on protein-protein interaction networks
CoSBi Computational and Systems Biology Series Stochastic simulation algorithms and analysis of biological systems
CoSBi Computational and Systems Biology Series Model Abstraction Methodology for Temporal Behavior Analysis of Multiscale Biological Systems
CoSBi Computational and Systems Biology Series Chemotaxis. Do we understand it all?
CoSBi Computational and Systems Biology Series Dynamics of cell cycle transitions
CoSBi Computational and Systems Biology Series Exploiting non-Markovian Bio-Processes within BlenX
CoSBi Computational and Systems Biology Series A parallel perspective of the dynamics of biological reactive systems
CoSBi Computational and Systems Biology Series KInfer and BetaWB: tools for supporting the modeling workflow of Biological Systems
CoSBi Computational and Systems Biology Series A Framework study of the NF-kB signalling pathway
CoSBi Computational and Systems Biology Series On the deduction of chemical reaction rate constants from measurements of time series of concentration
CoSBi Computational and Systems Biology Series Evolutionary computation: optimization and inference
Kids Today Have No Sense of Privacy?
CoSBi Computational and Systems Biology Series On Automatic Quantitative Verification of Biological SystemsTime changed
CoSBi Computational and Systems Biology Series BlenX, a language based approach for modelling biological systems
CoSBi Computational and Systems Biology Series Exactness and Approximation of the Stochastic Simulation Algorithm
CoSBi Computational and Systems Biology Series Colonies of Synchronizing Agents: Computability and Robustness
CoSBi Computational and Systems Biology Series Computational analysis of the connection between cell cycle and circadian rhythm
Microsoft Research Machine Learning and Perception Seminars Physics-Based Human Motion Models for Animation and Tracking
Microsoft Research Machine Learning and Perception Seminars Bayesian network structure learning from uncertain interventions
Microsoft Research Machine Learning and Perception Seminars Generative models for audio and music processing
Microsoft Research Machine Learning and Perception Seminars identity variables for face recognition: from distance based methods to probabilistic inference
Microsoft Research Cambridge, general interest public talks Accelerating Discovery: A Grand Challenge for HCI
Microsoft Research Machine Learning and Perception Seminars A Bayesian model that links microarray mRNA measurements to mass spectrometry protein measurements
Microsoft Research Machine Learning and Perception Seminars Motion Tracking
Microsoft Research Machine Learning and Perception Seminars A complete set of rotationally and translationally invariant features based on a generalization of the bispectrum to non-commutative groups
Microsoft Research Machine Learning and Perception Seminars Reverse Engineering the Human Visual System with Networks of Spiking Neurons
Microsoft Research Machine Learning and Perception Seminars Where’s my rocket? – Stochastic simulations of rocket flight paths
Microsoft Research Machine Learning and Perception Seminars Learning Conditional Random Fields with Hierarchical Features: Application to the Game of Go
Microsoft Research Machine Learning and Perception Seminars Constraint Programming Techniques for Virtual Camera Control
Microsoft Research Machine Learning and Perception Seminars Learning microRNA regulatory networks from genomic sequence and expression data
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