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ICCV
2009
IEEE
15 years 19 days ago
Efficient Discriminative Learning of Parts-based Models
Supervised learning of a parts-based model can be for- mulated as an optimization problem with a large (exponen- tial in the number of parts) set of constraints. We show how thi...
M. Pawan Kumar, Andrew Zisserman, Philip H.S. Torr
WSC
1998
13 years 9 months ago
Rostering by Iterating Integer Programming and Simulation
We present a new technique (RIIPS) for solving rostering problems in the presence of service uncertainty. RIIPS stands for "Rostering by Iterating Integer Programming and Sim...
Shane G. Henderson, Andrew J. Mason
JCP
2008
167views more  JCP 2008»
13 years 7 months ago
Accelerated Kernel CCA plus SVDD: A Three-stage Process for Improving Face Recognition
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
Ming Li, Yuanhong Hao
CHI
2010
ACM
14 years 2 months ago
Individual models of color differentiation to improve interpretability of information visualization
Color is commonly used to represent categories and values in many computer applications, but differentiating these colors can be difficult in many situations (e.g., for users with...
David R. Flatla, Carl Gutwin
DAGM
2010
Springer
13 years 7 months ago
An Improved Histogram of Edge Local Orientations for Sketch-Based Image Retrieval
Content-based image retrieval requires a natural image (e.g, a photo) as query, but the absence of such a query image is usually the reason for a search. An easy way to express the...
Jose M. Saavedra, Benjamin Bustos