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ICML
2010
IEEE
15 years 8 months ago
Tree-Guided Group Lasso for Multi-Task Regression with Structured Sparsity
We consider the problem of learning a sparse multi-task regression, where the structure in the outputs can be represented as a tree with leaf nodes as outputs and internal nodes a...
Seyoung Kim, Eric P. Xing
218
Voted
CORR
2010
Springer
275views Education» more  CORR 2010»
15 years 7 months ago
Dictionary Optimization for Block-Sparse Representations
Recent work has demonstrated that using a carefully designed dictionary instead of a predefined one, can improve the sparsity in jointly representing a class of signals. This has m...
Kevin Rosenblum, Lihi Zelnik-Manor, Yonina C. Elda...
COR
2008
142views more  COR 2008»
15 years 7 months ago
Application of reinforcement learning to the game of Othello
Operations research and management science are often confronted with sequential decision making problems with large state spaces. Standard methods that are used for solving such c...
Nees Jan van Eck, Michiel C. van Wezel
IJPRAI
2008
235views more  IJPRAI 2008»
15 years 7 months ago
Shape-Based Individual/Group Detection for Sport Videos Categorization
We present a shape based method for automatic people detection and counting without any assumption or knowledge of camera motion. The proposed method is applied to athletic videos...
Costas Panagiotakis, Emmanuel Ramasso, Georgios Tz...
IR
2008
15 years 7 months ago
Negation recognition in medical narrative reports
Substantial medical data, such as discharge summaries and operative reports are stored in electronic textual form. Databases containing free-text clinical narratives reports often...
Lior Rokach, Roni Romano, Oded Maimon