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SDM
2010
SIAM
195views Data Mining» more  SDM 2010»
13 years 11 months ago
MACH: Fast Randomized Tensor Decompositions
Tensors naturally model many real world processes which generate multi-aspect data. Such processes appear in many different research disciplines, e.g, chemometrics, computer visio...
Charalampos E. Tsourakakis
ASPDAC
2004
ACM
80views Hardware» more  ASPDAC 2004»
14 years 3 months ago
Exploiting program execution phases to trade power and performance for media workload
Abstract- Processing streaming media comprisesseveral program phases (often distinct) that are periodic and independent of application data. In this paper we characterize execution...
Subhasis Banerjee, G. Surendra, S. K. Nandy
JMM2
2007
122views more  JMM2 2007»
13 years 10 months ago
Hierarchical Model-Based Activity Recognition With Automatic Low-Level State Discovery
Abstract— Activity recognition in video streams is increasingly important for both the computer vision and artificial intelligence communities. Activity recognition has many app...
Justin Muncaster, Yunqian Ma
CEAS
2007
Springer
14 years 2 months ago
Online Active Learning Methods for Fast Label-Efficient Spam Filtering
Active learning methods seek to reduce the number of labeled examples needed to train an effective classifier, and have natural appeal in spam filtering applications where trustwo...
D. Sculley
ICDM
2009
IEEE
130views Data Mining» more  ICDM 2009»
14 years 4 months ago
Active Learning with Generalized Queries
—Active learning can actively select or construct examples to label to reduce the number of labeled examples needed for building accurate classifiers. However, previous works of...
Jun Du, Charles X. Ling