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ICCCN
2007
IEEE
15 years 6 months ago
Online Selection of Tracking Features using AdaBoost
In this paper, a novel feature selection algorithm for object tracking is proposed. This algorithm performs more robust than the previous works by taking the correlation between f...
Ying-Jia Yeh, Chiou-Ting Hsu
JACIII
2006
101views more  JACIII 2006»
15 years 6 months ago
Application of Fuzzy Inference Method in Printing Pressure State Expectation System
om which abstract features are extracted with image processing. The output of the system is the state of printing pressure, which is divided into 3 states: EXCESSIVE PRESSURE (EP),...
Jianping Jing, Yasufumi Takama, Toru Yamaguchi
JSYML
2008
108views more  JSYML 2008»
15 years 6 months ago
Randomness, lowness and degrees
We say that A LR B if every B-random number is A-random. Intuitively this means that if oracle A can identify some patterns on some real , oracle B can also find patterns on . In o...
George Barmpalias, Andrew E. M. Lewis, Mariya Ivan...
CAD
1999
Springer
15 years 6 months ago
Computing offsets of NURBS curves and surfaces
This paper presents algorithms for computing offsets of NURBS curves and surfaces. The basic approach consists of four steps: (1) recognition of special curves and surfaces; (2) s...
Les A. Piegl, Wayne Tiller
TSMC
2002
135views more  TSMC 2002»
15 years 6 months ago
Fuzzy decision tree, linguistic rules and fuzzy knowledge-based network: generation and evaluation
A fuzzy knowledge-based network is developed based on the linguistic rules extracted from a fuzzy decision tree. A scheme for automatic linguistic discretization of continuous attr...
Sushmita Mitra, Kishori M. Konwar, Sankar K. Pal