Adobe Research » Publications

Publication date: July 15, 2015

Efficient training set use for blood pressure prediction in a large scale learning classifier system

Genetic and Evolutionary Computation Conference (GECCO) 2015

Erik Hemberg, Kalyan Veeramachaneni, Franck Dernoncourt, Mark Wagy, Una-May O'Reilly

AI & Machine Learning

Publication date: July 15, 2015

Imprecise selection and fitness approximation in a large-scale evolutionary rule based system for blood pressure prediction

Genetic and Evolutionary Computation Conference (GECCO) 2015

Erik Hemberg, Kalyan Veeramachaneni, Franck Dernoncourt, Mark Wagy, Una-May O'Reilly

AI & Machine Learning

Publication date: July 1, 2015

Personalized Ad Recommendation Systems for Life-Time Value Optimization with Guarantees.

International Joint Conference on Artificial Intelligence (IJCAI) 2015.

Georgios Theocharous, P. Thomas, Mohammad Ghavamzadeh

AI & Machine Learning

Publication date: June 25, 2015

Gaussian Process-based Feature Selection for Wavelet Parameters: Predicting Acute Hypotensive Episodes from Physiological Signals

IEEE 28th International Symposium on Computer-Based Medical Systems

Franck Dernoncourt, Kalyan Veeramachaneni, Una-May O’Reilly

AI & Machine Learning

Publication date: June 23, 2015

Matching-CNN Meets KNN: Quasi-Parametric Human Parsing

IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Si Liu, Xiaodan Liang, Luoqi Liu, Xiaohui Shen, Jianchao Yang, Changsheng Xu, Liang Lin, Xiaochun Cao, Shuicheng Yan

AI & Machine Learning
Computer Vision, Imaging & Video

Publication date: May 7, 2015

Real-World Font Recognition Using Deep Network and Domain Adaptation

ICLR 2015

Zhangyang Wang, Jianchao Yang, Hailin Jin, Eli Shechtman, Aseem Agarwala, Jonathan Brandt, Thomas S. Huang

AI & Machine Learning
Computer Vision, Imaging & Video

Publication date: May 1, 2015

Classification-based Approximate Policy Iteration

IEEE Transactions on Automatic Control (TAC), 60(11): 2989- 2993, 2015.

Amir massoud Farahmand, Doina Precup, Andre Barreto, Mohammad Ghavamzadeh

AI & Machine Learning

Publication date: May 1, 2015

Improved Learning Complexity in Combinatorial Pure Exploration Bandits

Proceedings of the Nine- teenth International Conference on Artificial Intelligence and Statistics (AISTATS-2016), pp. 1004-1012, Cadiz, Spain, 2016.

Victor Gabillon, Alessandro Lazaric, Mohammad Ghavamzadeh, Ronald Ortner, Peter Bartlett

AI & Machine Learning

Publication date: April 19, 2015

Speaker and Noise Independent Online Single Channel Speech Enhancement

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

Francois Germain, Gautham Mysore

AI & Machine Learning
Audio

Publication date: April 19, 2015

Speech Dereverberation using a Learned Speech Model

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

Dawen Liang, Matt Hoffman, Gautham Mysore

AI & Machine Learning
Audio

Publication date: April 19, 2015

Efficient Manifold Preserving Audio Source Separation using Locality Sensitive Hashing

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

Minje Kim, Paris Smaragdis, Gautham Mysore

AI & Machine Learning
Audio

Publication date: April 4, 2015

Summarizing Customer Reviews through Aspects and Contexts

International Conference on Intelligent Text Processing and Computational Linguistics (CICLING), 2015.

Prakhar Gupta, Sandeep Kumar, Kokil Jaidka

AI & Machine Learning

Publication date: March 18, 2015

Community Reaction – From Blogs to Facebook

ACM iKDD Conference on Data Science

Balaji Vasan Srinivasan, Anandhavelu Natarajan, Ritwik Sinha, Moumita Sinha

AI & Machine Learning
Content Intelligence
Data Intelligence
Natural Language Processing

Publication date: March 12, 2015

Visual Commonsense for Scene Understanding Using Perception, Semantic Parsing and Reasoning

AAAI Spring Symposium Series, 2015

Somak Aditya, Yezhou Yang, Chitta Baral, Cornelia Fermüller, Yiannis Aloimonos

AI & Machine Learning
Computer Vision, Imaging & Video
Natural Language Processing

Publication date: December 12, 2014

Parametric Dictionaries and Feature Augmentation for Continuous Domain Adaptation

Indian Conference on Computer Vision Graphics and Image Processing

Sumit Shekhar, Nitesh Shroff, Rama Chellappa

AI & Machine Learning
Computer Vision, Imaging & Video

Publication date: December 1, 2014

Algorithms for CVaR Optimization in MDPs

Proceedings of the Twenty-Eighth Annual Conference on Advances in Neural Information Processing Systems (NIPS-2014), pp. 3509-3517, 2014.

Yinlam Chow, Mohammad Ghavamzadeh

AI & Machine Learning

Publication date: December 1, 2014

Constrained Stochastic Optimal Control with a Baseline Performance Guarantee

Workshop on “From Bad Models to Good Policies”, Twenty-Eighth Annual Conference on Advances in Neural Information Processing Systems (NIPS-2014), Montreal, Canada, December 2014.

Yinlam Chow, Mohammad Ghavamzadeh

AI & Machine Learning

Publication date: November 10, 2014

Stemming the flow of information in a social network

The 6th International Conference on Social Informatics

Balaji Vasan Srinivasan, A. Kumar, S. Gupta, K. Gupta

AI & Machine Learning
Content Intelligence

Publication date: October 27, 2014

Analysis sparse coding models for image-based classification

IEEE International Conference on Image Processing

Sumit Shekhar, Vishal Patel, Rama Chellappa

AI & Machine Learning
Computer Vision, Imaging & Video

Publication date: October 1, 2014

Stopping Criteria for Non-negative Matrix Factorization Based Supervised and Semi-Supervised Source Separation

IEEE Signal Processing Letters

Francois Germain, Gautham Mysore

AI & Machine Learning
Audio

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