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AAAI
2010
15 years 8 months ago
Cost-Sensitive Semi-Supervised Support Vector Machine
In this paper, we study cost-sensitive semi-supervised learning where many of the training examples are unlabeled and different misclassification errors are associated with unequa...
Yu-Feng Li, James T. Kwok, Zhi-Hua Zhou
DKE
2008
159views more  DKE 2008»
15 years 6 months ago
Isolated items discarding strategy for discovering high utility itemsets
Traditional methods of association rule mining consider the appearance of an item in a transaction, whether or not it is purchased, as a binary variable. However, customers may pu...
Yu-Chiang Li, Jieh-Shan Yeh, Chin-Chen Chang
ISM
2006
IEEE
207views Multimedia» more  ISM 2006»
15 years 6 months ago
Affinity Hybrid Tree: An Indexing Technique for Content-Based Image Retrieval in Multimedia Databases
A novel indexing and access method, called Affinity Hybrid Tree (AH-Tree), is proposed to organize large image data sets efficiently and to support popular image access mechanisms...
Kasturi Chatterjee, Shu-Ching Chen
ICASSP
2010
IEEE
15 years 5 months ago
Building pair-wise visual word tree for efficent image re-ranking
Bag-of-visual Words (BoW) image representation is getting popular in computer vision and multimedia communities. However, experiments show that the traditional BoW representation ...
Shiliang Zhang, Qingming Huang, Yijuan Lu, Wen Gao...
NIPS
2004
15 years 8 months ago
Two-Dimensional Linear Discriminant Analysis
Linear Discriminant Analysis (LDA) is a well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional d...
Jieping Ye, Ravi Janardan, Qi Li