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» Visual Exploration of High Dimensional Scalar Functions
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ICCV
2007
IEEE
15 years 11 months ago
Vector Quantizing Feature Space with a Regular Lattice
Most recent class-level object recognition systems work with visual words, i.e., vector quantized local descriptors. In this paper we examine the feasibility of a dataindependent ...
Tinne Tuytelaars, Cordelia Schmid
88
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ICCV
2007
IEEE
15 years 11 months ago
Robust Visual Tracking Based on Incremental Tensor Subspace Learning
Most existing subspace analysis-based tracking algorithms utilize a flattened vector to represent a target, resulting in a high dimensional data learning problem. Recently, subspa...
Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, ...
ICPR
2008
IEEE
15 years 3 months ago
Learning a discriminative sparse tri-value transform
Simple binary patterns have been successfully used for extracting feature representations for visual object classification. In this paper, we present a method to learn a set of d...
Zhenhua Qu, Guoping Qiu, Pong Chi Yuen
ICIP
2006
IEEE
15 years 11 months ago
An Attention Based Focus Control System
Whilst the physical mechanism used by the eye to accommodate has been known since the mid 19th century, there have been few suggestions as to the method by which the human visual ...
Robert Shilston, Fred Stentiford
VISUALIZATION
1991
IEEE
15 years 28 days ago
Achieving Direct Volume Visualization with Interactive Semantic Region Selection
Interactive direct visualization of 3D data requires fast update rates and the ability to extract regions of interest from the surrounding data. We have implemented MultiValued Cl...
Terry S. Yoo, Ulrich Neumann, Henry Fuchs, Stephen...