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» Unsupervised feature extraction using neuro-fuzzy approach
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ENGL
2007
148views more  ENGL 2007»
15 years 6 months ago
A General Reflex Fuzzy Min-Max Neural Network
—“A General Reflex Fuzzy Min-Max Neural Network” (GRFMN) is presented. GRFMN is capable to extract the underlying structure of the data by means of supervised, unsupervised a...
Abhijeet V. Nandedkar, Prabir Kumar Biswas
BMCBI
2007
178views more  BMCBI 2007»
15 years 6 months ago
SVM clustering
Background: Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being cons...
Stephen Winters-Hilt, Sam Merat
KDD
2008
ACM
186views Data Mining» more  KDD 2008»
16 years 6 months ago
Scalable and near real-time burst detection from eCommerce queries
In large scale online systems like Search, eCommerce, or social network applications, user queries represent an important dimension of activities that can be used to study the imp...
Nish Parikh, Neel Sundaresan
ICRA
2002
IEEE
102views Robotics» more  ICRA 2002»
15 years 11 months ago
Images Interpolation for Image-Based Control under Large Displacement
The principal deficiency of image-based visual servoing is that the induced (3D) trajectories are not optimal and sometimes, especially when the displacement to realize is large,...
Youcef Mezouar, Anthony Remazeilles, Patrick Gros,...
TRECVID
2008
15 years 7 months ago
Beyond Semantic Search: What You Observe May Not Be What You Think
This paper presents our approaches and results of the four TRECVID 2008 tasks we participated in: high-level feature extraction, automatic video search, video copy detection, and ...
Chong-Wah Ngo, Yu-Gang Jiang, Xiao-Yong Wei, Wanle...