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KDD
2008
ACM
207views Data Mining» more  KDD 2008»
14 years 8 months ago
Active learning with direct query construction
Active learning may hold the key for solving the data scarcity problem in supervised learning, i.e., the lack of labeled data. Indeed, labeling data is a costly process, yet an ac...
Charles X. Ling, Jun Du
IVA
2010
Springer
13 years 6 months ago
How a Virtual Agent Should Smile? - Morphological and Dynamic Characteristics of Virtual Agent's Smiles
A smile may communicate different meanings depending on subtle characteristics of the facial expression. In this article, we have studied the morphological and dynamic characteris...
Magalie Ochs, Radoslaw Niewiadomski, Catherine Pel...
ICCV
2005
IEEE
14 years 9 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu
CAD
2008
Springer
13 years 7 months ago
Improved Binary Space Partition merging
This paper presents a new method for evaluating boolean set operations between Binary Space Partition (BSP) trees. Our algorithm has many desirable features including both numeric...
Mikola Lysenko, Roshan D'Souza, Ching-Kuan Shene
HEURISTICS
2008
92views more  HEURISTICS 2008»
13 years 7 months ago
Learning heuristics for basic block instruction scheduling
Instruction scheduling is an important step for improving the performance of object code produced by a compiler. A fundamental problem that arises in instruction scheduling is to ...
Abid M. Malik, Tyrel Russell, Michael Chase, Peter...