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» Learning Classes of Probabilistic Automata
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MICRO
2009
IEEE
191views Hardware» more  MICRO 2009»
14 years 2 months ago
Pseudo-LIFO: the foundation of a new family of replacement policies for last-level caches
Cache blocks often exhibit a small number of uses during their life time in the last-level cache. Past research has exploited this property in two different ways. First, replacem...
Mainak Chaudhuri
AAAI
2008
13 years 9 months ago
A Fast Data Collection and Augmentation Procedure for Object Recognition
When building an application that requires object class recognition, having enough data to learn from is critical for good performance, and can easily determine the success or fai...
Benjamin Sapp, Ashutosh Saxena, Andrew Y. Ng
IJCNN
2006
IEEE
14 years 1 months ago
Sparse Bayesian Models: Bankruptcy-Predictors of Choice?
Abstract— Making inferences and choosing appropriate responses based on incomplete, uncertainty and noisy data is challenging in financial settings particularly in bankruptcy de...
Bernardete Ribeiro, Armando Vieira, João Ca...
CIKM
2010
Springer
13 years 6 months ago
Collaborative Dual-PLSA: mining distinction and commonality across multiple domains for text classification
:  Collaborative Dual-PLSA: Mining Distinction and Commonality across Multiple Domains for Text Classification Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhon...
Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yu...
IWCM
2004
Springer
14 years 21 days ago
Tracking Complex Objects Using Graphical Object Models
We present a probabilistic framework for component-based automatic detection and tracking of objects in video. We represent objects as spatio-temporal two-layer graphical models, w...
Leonid Sigal, Ying Zhu, Dorin Comaniciu, Michael J...