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TNN
2008
119views more  TNN 2008»
13 years 9 months ago
Selecting Useful Groups of Features in a Connectionist Framework
Abstract--Suppose for a given classification or function approximation (FA) problem data are collected using sensors. From the output of the th sensor, features are extracted, ther...
Debrup Chakraborty, Nikhil R. Pal
SMC
2007
IEEE
133views Control Systems» more  SMC 2007»
14 years 3 months ago
Text classification using multi-word features
—We carried out a series of experiments on text classification using multi-word features. An automated method was proposed to extract the multi-words from text data set and two d...
Wen Zhang, Taketoshi Yoshida, Xijin Tang
MMM
2008
Springer
158views Multimedia» more  MMM 2008»
14 years 3 months ago
Similarity Search in Multimedia Time Series Data Using Amplitude-Level Features
Effective similarity search in multi-media time series such as video or audio sequences is important for content-based multi-media retrieval applications. We propose a framework th...
Johannes Aßfalg, Hans-Peter Kriegel, Peer Kr...
ISMAR
2007
IEEE
14 years 3 months ago
Feature Tracking for Mobile Augmented Reality Using Video Coder Motion Vectors
We propose a novel, low-complexity, tracking scheme that uses motion vectors directly from a video coder. We compare our tracking algorithm against ground truth data, and show tha...
Gabriel Takacs, Vijay Chandrasekhar, Bernd Girod, ...
SPIESR
1997
143views Database» more  SPIESR 1997»
13 years 10 months ago
Similarity Evaluation in Image Retrieval Using Simple Features
The development of increasingly complex multimedia applications calls for new methodologies for the organization and retrieval of still images and video sequences. Query and retri...
Eugenio Di Sciascio, Augusto Celentano