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CVPR
2007
IEEE
14 years 10 months ago
Compositional Boosting for Computing Hierarchical Image Structures
In this paper, we present a compositional boosting algorithm for detecting and recognizing 17 common image structures in low-middle level vision tasks. These structures, called &q...
Tianfu Wu, Gui-Song Xia, Song Chun Zhu
CODES
2007
IEEE
14 years 3 months ago
Event-based re-training of statistical contention models for heterogeneous multiprocessors
Embedded single-chip heterogeneous multiprocessor (SCHM) systems experience frequent system events such as task preemption, power-saving voltage/frequency scaling, or arrival of n...
Alex Bobrek, JoAnn M. Paul, Donald E. Thomas
ECCV
2000
Springer
14 years 10 months ago
Significantly Different Textures: A Computational Model of Pre-attentive Texture Segmentation
Abstract. Recent human vision research [1] suggests modelling preattentive texture segmentation by taking a set of feature samples from a local region on each side of a hypothesize...
Ruth Rosenholz
ICML
2002
IEEE
14 years 9 months ago
Learning the Kernel Matrix with Semi-Definite Programming
Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...
Gert R. G. Lanckriet, Nello Cristianini, Peter L. ...
KDD
2007
ACM
132views Data Mining» more  KDD 2007»
14 years 9 months ago
LungCAD: a clinically approved, machine learning system for lung cancer detection
We present LungCAD, a computer aided diagnosis (CAD) system that employs a classification algorithm for detecting solid pulmonary nodules from CT thorax studies. We briefly descri...
R. Bharat Rao, Jinbo Bi, Glenn Fung, Marcos Salgan...