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130
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CVPR
2005
IEEE
16 years 4 months ago
Pruning Training Sets for Learning of Object Categories
Training datasets for learning of object categories are often contaminated or imperfect. We explore an approach to automatically identify examples that are noisy or troublesome fo...
Anelia Angelova, Yaser S. Abu-Mostafa, Pietro Pero...
110
Voted
IUI
2009
ACM
15 years 11 months ago
Data-driven exploration of musical chord sequences
We present data-driven methods for supporting musical creativity by capturing the statistics of a musical database. Specifically, we introduce a system that supports users in expl...
Eric Nichols, Dan Morris, Sumit Basu
148
Voted
CIARP
2007
Springer
15 years 8 months ago
A Statistical User Simulation Technique for the Improvement of a Spoken Dialog System
Abstract. In this paper, we present a statistical approach for the automatic generation of dialogs by means of a user simulator. This technique can be used to generate dialogs with...
Lluís Hurtado, David Griol, Emilio Sanchis,...
120
Voted
ICMCS
2005
IEEE
134views Multimedia» more  ICMCS 2005»
15 years 7 months ago
Multi-Modal Video Concept Extraction Using Co-Training
For large scale automatic semantic video characterization, it is necessary to learn and model a large number of semantic concepts. A major obstacle to this is the insufficiency o...
Rong Yan, Milind R. Naphade
151
Voted
3DOR
2008
15 years 4 months ago
Markov Random Fields for Improving 3D Mesh Analysis and Segmentation
Mesh analysis and clustering have became important issues in order to improve the efficiency of common processing operations like compression, watermarking or simplification. In t...
Guillaume Lavoué, Christian Wolf