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» Feature Extraction Using ICA
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KDD
2007
ACM
160views Data Mining» more  KDD 2007»
16 years 2 months ago
Show me the money!: deriving the pricing power of product features by mining consumer reviews
The increasing pervasiveness of the Internet has dramatically changed the way that consumers shop for goods. Consumergenerated product reviews have become a valuable source of inf...
Nikolay Archak, Anindya Ghose, Panagiotis G. Ipeir...
DOCENG
2006
ACM
15 years 8 months ago
NEWPAR: an automatic feature selection and weighting schema for category ranking
Category ranking provides a way to classify plain text documents into a pre-determined set of categories. This work proposes to have a look at typical document collections and ana...
Fernando Ruiz-Rico, José Luis Vicedo Gonz&a...
ECCV
2006
Springer
16 years 4 months ago
Sampling Strategies for Bag-of-Features Image Classification
Abstract. Bag-of-features representations have recently become popular for content based image classification owing to their simplicity and good performance. They evolved from text...
Eric Nowak, Frédéric Jurie, Bill Tri...
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CVPR
2003
IEEE
16 years 4 months ago
Wide-baseline Multiple-view Correspondences
We present a novel approach for establishing multiple-view feature correspondences along an unordered set of images taken from substantially different viewpoints. While recently s...
Vittorio Ferrari, Tinne Tuytelaars, Luc J. Van Goo...
WSCG
2003
191views more  WSCG 2003»
15 years 3 months ago
Binary Histogram in Image Classification for Retrieval Purposes
Image retrieval can be considered as a classification problem. Classification is usually based on some image features. In the feature extraction image segmentation is commonly use...
Iivari Kunttu, Leena Lepistö, Juhani Rauhamaa...