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ICML
2007
IEEE
15 years 10 months ago
Multiclass multiple kernel learning
In many applications it is desirable to learn from several kernels. "Multiple kernel learning" (MKL) allows the practitioner to optimize over linear combinations of kern...
Alexander Zien, Cheng Soon Ong
IJCV
2007
196views more  IJCV 2007»
14 years 9 months ago
Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition
We investigate a method for learning object categories in a weakly supervised manner. Given a set of images known to contain the target category from a similar viewpoint, learning...
Robert Fergus, Pietro Perona, Andrew Zisserman
95
Voted
AAAI
1996
14 years 11 months ago
Design and Implementation of a Replay Framework Based on a Partial Order Planner
In this paper we describe the design and implementation of the derivation replay framework, dersnlp+ebl (Derivational snlp+ebl), which is based within a partial order planner. der...
Laurie H. Ihrig, Subbarao Kambhampati
71
Voted
ICDM
2008
IEEE
80views Data Mining» more  ICDM 2008»
15 years 4 months ago
Collective Latent Dirichlet Allocation
In this paper, we propose a new variant of Latent Dirichlet Allocation(LDA): Collective LDA (C-LDA), for multiple corpora modeling. C-LDA combines multiple corpora during learning...
Zhiyong Shen, Jun Sun, Yi-Dong Shen
AAI
1999
147views more  AAI 1999»
14 years 9 months ago
Animated Agents for Procedural Training in Virtual Reality: Perception, Cognition, and Motor Control
This paper describes Steve, an animated agent that helps students learn to perform physical, procedural tasks. The student and Steve cohabit a three-dimensional, simulated mock-up...
Jeff Rickel, W. Lewis Johnson