Sciweavers

658 search results - page 12 / 132
» Minimally-Supervised Classification using Multiple Observati...
Sort
View
ICCV
2009
IEEE
14 years 9 months ago
Incremental Multiple Kernel Learning for object recognition
A good training dataset, representative of the test images expected in a given application, is critical for ensuring good performance of a visual categorization system. Obtaining ...
Aniruddha Kembhavi, Behjat Siddiquie, Roland Miezi...
KDD
2003
ACM
180views Data Mining» more  KDD 2003»
16 years 2 days ago
Classifying large data sets using SVMs with hierarchical clusters
Support vector machines (SVMs) have been promising methods for classification and regression analysis because of their solid mathematical foundations which convey several salient ...
Hwanjo Yu, Jiong Yang, Jiawei Han
FSKD
2006
Springer
124views Fuzzy Logic» more  FSKD 2006»
15 years 3 months ago
An Effective Combination of Multiple Classifiers for Toxicity Prediction
This paper presents an investigation into the combination of different classifiers for toxicity prediction. These classification methods involved in generating classifiers for comb...
Gongde Guo, Daniel Neagu, Xuming Huang, Yaxin Bi
MM
2006
ACM
152views Multimedia» more  MM 2006»
15 years 5 months ago
Multimodal fusion using learned text concepts for image categorization
Conventional image categorization techniques primarily rely on low-level visual cues. In this paper, we describe a multimodal fusion scheme which improves the image classification...
Qiang Zhu, Mei-Chen Yeh, Kwang-Ting Cheng
CVPR
2012
IEEE
13 years 2 months ago
Adaptive figure-ground classification
We propose an adaptive figure-ground classification algorithm to automatically extract a foreground region using a user-provided bounding-box. The image is first over-segmented wi...
Yisong Chen, Antoni B. Chan, Guoping Wang