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Large Projects
- Algorithms and Frameworks for OCR and Content-based Image Retrieval
Jike Chong, Bryan Christopher Catanzaro, Narayanan Sundaram, Fares Hedayati and Kurt Keutzer
- GamesCrafters: Undergraduate Game Theory Research and Development
Dan Garcia
- Recognition using Regions
Jitendra Malik, Chunhui Gu, Pablo Arbelaez and Joseph Lim
- The Stanford/Berkeley Testbed of Autonomous Rotorcraft for Multi-Agent Control (STARMAC)
Haomiao Huang, Michael Vitus, Jeremy Gillula, Patrick Bouffard, Eugene Li, Tony Mercer, Christopher Berner and Claire Tomlin
Small Projects
- A Stochastic View of Optimal Regret through Minimax Duality
Jacob Abernethy, Alekh Agarwal, Peter Bartlett and Alexander Rakhlin
- Angelic Hierarchical Planning
Jason Wolfe, Stuart J. Russell and Bhaskara Marthi
- Computational complexity of statistical estimation
Alekh Agarwal, Peter Bartlett, Pradeep Ravikumar and Martin Wainwright
- Data-Parallel Large Vocabulary Continuous Speech Recognition on Manycore Processors
Jike Chong, Ekaterina Gonina and Kurt Keutzer
- Discriminative Features for Large Vocabulary Speech Recognition
Nelson Morgan and Suman Ravuri
- Evolutionary models and algorithms for ancestral sequence reconstruction
Alexandre Bouchard-Cote, Percy Shuo Liang, Daniel Klein and Thomas Griffiths
- Exploring Intrinsic Speaker Qualities Via an Analysis of Automatic Speaker Recognition Systems
Lara Stoll and Nelson Morgan
- Facial Image Indexing Interfaces
Trevor Darrell and Ashley Michelle Eden
- Hashing Algorithms for Scalable Image Search
Brian Kulis and Trevor Darrell
- Learning for robotics
Pieter Abbeel
- Learning to Identify Locally Actionable Health Anomalies
Kuang Chen, Emma Brunskill, Joseph M. Hellerstein and Tapan Parikh
- Modeling events in continuous time.
Aleksandr Simma and Michael Jordan
- Multi-Modal Learning and Sensing for Mobile Robotic Systems
Mario Fritz and Trevor Darrell
- Nonrigid Object Recognition and Tracking
Mathieu Salzmann, Trevor Darrell and Yangqing Jia
- Parallel MLP Feature Extraction for Speech Recognition
Nelson Morgan, Chris Oei and Adam Janin
- Perceptually Grounded Spatial Semantics
David Golland, Daniel Klein and Trevor Darrell
- Privacy-Preserving Support Vector Learning
Benjamin I. P. Rubinstein, Peter Bartlett, Ling Huang and Nina Taft
- Probabilistic Inference with Unknown Objects
Stuart J. Russell, Rodrigo de Salvo Braz and Nimar S Arora
- Properties of Maximum and Maximal VC-Classes
Benjamin I. P. Rubinstein, J. Hyam Rubinstein and Peter Bartlett
- Transparent Local Features for Object Recognition
Mario Fritz, Sergey Karayev and Trevor Darrell
- Using Control Theory to Make Safety Guarantees About Learned Dynamics and Behaviors
Jeremy Gillula and Claire Tomlin
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