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» Learning to learn with the informative vector machine
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IJCV
2002
133views more  IJCV 2002»
13 years 9 months ago
Probabilistic Tracking with Exemplars in a Metric Space
Abstract. A new, exemplar-based, probabilistic paradigm for visual tracking is presented. Probabilistic mechanisms are attractive because they handle fusion of information, especia...
Kentaro Toyama, Andrew Blake
WIOPT
2010
IEEE
13 years 7 months ago
Enhancing RRM optimization using a priori knowledge for automated troubleshooting
—The paper presents a methodology that combines statistical learning with constraint optimization by locally optimizing Radio Resource Management (RRM) or system parameters of po...
Moazzam Islam Tiwana, Zwi Altman, Berna Sayra&cced...
CVPR
2011
IEEE
13 years 4 months ago
Hierarchical Semantic Indexing for Large Scale Image Retrieval
This paper addresses the problem of similar image retrieval, especially in the setting of large-scale datasets with millions to billions of images. The core novel contribution is ...
Jia Deng, Alexander Berg, Li Fei-Fei
KDD
2006
ACM
170views Data Mining» more  KDD 2006»
14 years 9 months ago
Classification features for attack detection in collaborative recommender systems
Collaborative recommender systems are highly vulnerable to attack. Attackers can use automated means to inject a large number of biased profiles into such a system, resulting in r...
Robin D. Burke, Bamshad Mobasher, Chad Williams, R...
SBIA
2000
Springer
14 years 26 days ago
User profiling with Case-Based Reasoning and Bayesian Networks
Agent technology provides many services to users. The tasks in which agents are involved include information filtering, information retrieval, user's tasks automation, browsin...
Silvia N. Schiaffino, Analía Amandi