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» Evaluating learning algorithms and classifiers
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ICMCS
2009
IEEE
131views Multimedia» more  ICMCS 2009»
13 years 6 months ago
Web image mining using concept sensitive Markov stationary features
With the explosive growth of web resources, how to mine semantically relevant images efficiently becomes a challenging and necessary task. In this paper, we propose a concept sens...
Chunjie Zhang, Jing Liu, Hanqing Lu, Songde Ma
ICASSP
2011
IEEE
13 years 21 days ago
A supervised approach to movie emotion tracking
In this paper, we present experiments on continuous time, continuous scale affective movie content recognition (emotion tracking). A major obstacle for emotion research has been t...
Nikos Malandrakis, Alexandros Potamianos, Georgios...
SIGIR
2004
ACM
14 years 2 months ago
Web-page classification through summarization
Web-page classification is much more difficult than pure-text classification due to a large variety of noisy information embedded in Web pages. In this paper, we propose a new Web...
Dou Shen, Zheng Chen, Qiang Yang, Hua-Jun Zeng, Be...
WACV
2012
IEEE
12 years 4 months ago
Online discriminative object tracking with local sparse representation
We propose an online algorithm based on local sparse representation for robust object tracking. Local image patches of a target object are represented by their sparse codes with a...
Qing Wang, Feng Chen, Wenli Xu, Ming-Hsuan Yang
ICML
2007
IEEE
14 years 9 months ago
Graph clustering with network structure indices
Graph clustering has become ubiquitous in the study of relational data sets. We examine two simple algorithms: a new graphical adaptation of the k-medoids algorithm and the Girvan...
Matthew J. Rattigan, Marc Maier, David Jensen