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» Multiple Instance Regression
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ECCV
2010
Springer
14 years 24 days ago
Object, Scene and Actions: Combining Multiple Features for Human Action Recognition
Abstract. In many cases, human actions can be identified not only by the singular observation of the human body in motion, but also properties of the surrounding scene and the rel...
NAACL
2007
13 years 9 months ago
Multiple Aspect Ranking Using the Good Grief Algorithm
We address the problem of analyzing multiple related opinions in a text. For instance, in a restaurant review such opinions may include food, ambience and service. We formulate th...
Benjamin Snyder, Regina Barzilay
ENDM
2010
100views more  ENDM 2010»
13 years 7 months ago
Large-scale multi-period precedence constrained knapsack problem: A mining application
We study an extension of the precedence constrained knapsack problem where the knapsack can be filled in multiple periods. This problem is known in the mining industry as the open...
Eduardo Moreno, Daniel G. Espinoza, Marcos Goycool...
IJCAI
2003
13 years 9 months ago
Multiple Agents Moving Target Search
Traditional single-agent search algorithms usually make simplifying assumptions (single search agent, stationary target, complete knowledge of the state, and sufficient time). The...
Mark Goldenberg, Alexander Kovarsky, Xiaomeng Wu, ...
ANOR
2011
131views more  ANOR 2011»
13 years 2 months ago
A branch-and-bound algorithm for hard multiple knapsack problems
Abstract The multiple knapsack problem (MKP) is a classical combinatorial optimization problem. A recent algorithm for some classes of the MKP is bin-completion, a bin-oriented, br...
Alex S. Fukunaga