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Microsoft Research Machine Learning and Perception Seminars
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A series of seminars organized by the Machine Learning and Perception group at Microsoft Research in Cambridge. If you have a question about this list, please contact: Nathan Jones; Dr. Pushmeet Kohli; Microsoft Research Cambridge Talks Admins. If you have a question about a specific talk, click on that talk to find its organiser. 0 upcoming talks and 64 talks in the archive. Workshop: Machine Learning in Cambridge 2015This 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
Local Deep Kernel Learning for Efficient Non-linear SVM PredictionThis 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
Bayesian Machine Learning for Controlling Autonomous SystemsThis 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
Compositionality in Vision and LanguageThis 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
Foundations of Neuromechanical Systems Biology: Combining engineering, biology, and mathematics to understand how we moveThis 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
Strategies for General RecognitionThis 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
The cost of principlesThis 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
Lifts of Convex Sets and Cone FactorizationsThis 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
Efficient Multi-dimensional Parametric Mincuts for Constrained MAP InferenceThis 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
Noise estimation by PDE-constrained 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
Building Better Questionnaires with Probabilistic ModellingThis 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
Austerity in MCM - Land : Cutting the computational BudgetThis 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
Fast Variational Inference in the Conjugate Exponential FamilyThis 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
Semantics\sqcap Scalability\models\bot? Are Semantics and Scalability Incompatible?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
Warped Mixture Models for Meaningful Clustering and Bayesian Manifold LearningThis 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
New probabilistic methods for inference of natural selection on regulatory sequences in the human genomeThis 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
Daniel’s Adventures in Computer Vision LandThis 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
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
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
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
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
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
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
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
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
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
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
Multi-Label Learning with Millions of Categories & Generalized Multiple Kernel Learning with a Million KernelsThis 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
Prediction Strategies without LossThis 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Formal Methods in Synthetic Biology
Enforcing topological constraints in energy-based image segmentation
On a first-order primal-dual algorithm with applications to convex problems in computer vision
Microsoft Research Cambridge, public talks Machine Learning for WLAN Positioning
Handling temporal variation of unknown characteristics in streaming data analysis.
Physics-Based Human Motion Models for Animation and Tracking
Bayesian network structure learning from uncertain interventions
Generative models for audio and music processing
identity variables for face recognition: from distance based methods to probabilistic inference
A Bayesian model that links microarray mRNA measurements to mass spectrometry protein measurements
A complete set of rotationally and translationally invariant features based on a generalization of the bispectrum to non-commutative groups
Reverse Engineering the Human Visual System with Networks of Spiking Neurons
Margin- and Evidence-Based Approaches for EEG Signal Classification
Computer Go Research in the University of Alberta GAMES Group
Where’s my rocket? – Stochastic simulations of rocket flight paths
Learning Conditional Random Fields with Hierarchical Features: Application to the Game of Go
Constraint Programming Techniques for Virtual Camera Control
Learning microRNA regulatory networks from genomic sequence and expression data
Please see above for contact details for this list. |
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Sebastian Nowozin, Microsoft Research Cambridge.
Tuesday 03 March 2015, 09:00-18:00