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ICML
2010
IEEE
15 years 7 months ago
Online Streaming Feature Selection
We study an interesting and challenging problem, online streaming feature selection, in which the size of the feature set is unknown, and not all features are available for learni...
Xindong Wu, Kui Yu, Hao Wang, Wei Ding
CORR
2010
Springer
275views Education» more  CORR 2010»
15 years 6 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...
JAIR
2008
120views more  JAIR 2008»
15 years 6 months ago
Anytime Induction of Low-cost, Low-error Classifiers: a Sampling-based Approach
Machine learning techniques are gaining prevalence in the production of a wide range of classifiers for complex real-world applications with nonuniform testing and misclassificati...
Saher Esmeir, Shaul Markovitch
PAMI
2008
250views more  PAMI 2008»
15 years 6 months ago
Combined Top-Down/Bottom-Up Segmentation
We construct an image segmentation scheme that combines top-down (TD) with bottom-up (BU) processing. In the proposed scheme, segmentation and recognition are intertwined rather th...
Eran Borenstein, Shimon Ullman
JUCS
2007
90views more  JUCS 2007»
15 years 6 months ago
Supporting the Authoring and Operationalization of Educational Modelling Languages
: The modelling of educational processes and their operational support is a key aspect in the construction of more effective e-learning applications. Instructional models are usual...
Iván Martínez-Ortiz, Pablo Moreno-Ge...