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» Non-linear Mapping for Feature Extraction
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KDD
1995
ACM
129views Data Mining» more  KDD 1995»
15 years 1 months ago
Feature Extraction for Massive Data Mining
Techniques for learning from data typically require data to be in standard form. Measurements must be encoded in a numerical format such as binary true-or-false features, numerica...
V. Seshadri, Raguram Sasisekharan, Sholom M. Weiss
ACSC
2003
IEEE
15 years 2 months ago
A Comparative Study for Domain Ontology Guided Feature Extraction
We introduced a novel method employing a hierarchical domain ontology structure to extract features representing documents in our previous publication (Wang 2002). All raw words i...
Bill B. Wang, Robert I. McKay, Hussein A. Abbass, ...
ICASSP
2011
IEEE
14 years 1 months ago
Generic object recognition using automatic region extraction and dimensional feature integration utilizing multiple kernel learn
Recently, in generic object recognition research, a classification technique based on integration of image features is garnering much attention. However, with a classifying techn...
Toru Nakashika, Akira Suga, Tetsuya Takiguchi, Yas...
ICRA
2010
IEEE
145views Robotics» more  ICRA 2010»
14 years 8 months ago
Extracting general-purpose features from LIDAR data
— The detection of features from Light Detection and Ranging (LIDAR) data is a fundamental component of featurebased mapping and SLAM systems. Existing detectors tend to exploit ...
Yangming Li, Edwin B. Olson
SAC
2004
ACM
15 years 3 months ago
Boundary extraction in thermal images by edge map
Extracting object boundaries in thermal images is a challenging task because of the amorphous nature of the images and the lack of sharp boundaries. Classical edge-based segmentat...
Quming Zhou, Zhuojing Li, Jake K. Aggarwal