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ICCV
2007
IEEE
14 years 10 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
2006
IEEE
14 years 9 months ago
Latent Layout Analysis for Discovering Objects in Images
Latent Layout Analysis (LLA) is a novel unsupervised learning technique to discover objects in unseen images using a set of un-annotated training images. LLA defines a generative ...
David Liu, Datong Chen, Tsuhan Chen
CHI
1996
ACM
14 years 5 days ago
Silk from a Sow's Ear: Extracting Usable Structures from the Web
In its current implementation, the World-Wide Web lacks much of the explicit structure and strong typing found in many closed hypertext systems. While this property has directly f...
Peter Pirolli, James E. Pitkow, Ramana Rao
APVIS
2010
13 years 9 months ago
CycleStack: Inferring periodic behavior via temporal sequence visualization in ultrasound video
A range of well-known treatment methods for destroying tumor and similar harmful growth in human body utilizes the coherence between the inherently periodic movement of the affect...
Teng-Yok Lee, Abon Chaudhuri, Fatih Porikli, Han-W...
SSIAI
2002
IEEE
14 years 28 days ago
Active Contours for Cell Tracking
This paper introduces an active contour or snakebased method for tracking cells within a video sequence. Specifically, we apply our cell tracking techniques to rolling leukocytes ...
Nilanjan Ray, Scott T. Acton