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» A General Method for Feature Matching and Model Extraction
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ICASSP
2007
IEEE
15 years 8 months ago
Importance of Feature Locations in Bag-of-Words Image Classification
The impact of image feature locations in the bag-of-words model for object classification is examined. It is demonstrated that a simple variance-based method works well and offer...
Nevena Lazic, Parham Aarabi
ICONIP
2008
15 years 3 months ago
Improved Sparse Bump Modeling for Electrophysiological Data
Bump modeling is a method used to extract oscillatory bursts in electrophysiological signals, who are most likely to be representative of local synchronies. In this paper we presen...
François B. Vialatte, Justin Dauwels, Jordi...
TKDE
2008
378views more  TKDE 2008»
15 years 1 months ago
Modeling Image Data for Effective Indexing and Retrieval in Large General Image Databases
In this paper, we propose an image semantic model based on the knowledge and criteria in the field of linguistics and taxonomy. Our work bridges the "semantic gap" by sea...
Xiaoyan Li, Lidan Shou, Gang Chen, Tianlei Hu, Jin...
131
Voted
ICDM
2006
IEEE
183views Data Mining» more  ICDM 2006»
15 years 7 months ago
Accelerating Newton Optimization for Log-Linear Models through Feature Redundancy
— Log-linear models are widely used for labeling feature vectors and graphical models, typically to estimate robust conditional distributions in presence of a large number of pot...
Arpit Mathur, Soumen Chakrabarti
SIGIR
2009
ACM
15 years 8 months ago
Smoothing clickthrough data for web search ranking
Incorporating features extracted from clickthrough data (called clickthrough features) has been demonstrated to significantly improve the performance of ranking models for Web sea...
Jianfeng Gao, Wei Yuan, Xiao Li, Kefeng Deng, Jian...