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» Meta-Evaluation of Image Segmentation Using Machine Learning
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ICIP
2007
IEEE
14 years 2 months ago
Graph Cut Segmentation with Nonlinear Shape Priors
Graph cut image segmentation with intensity information alone is prone to fail for objects with weak edges, in clutter, or under occlusion. Existing methods to incorporate shape a...
James G. Malcolm, Yogesh Rathi, Allen Tannenbaum
DAS
2006
Springer
13 years 11 months ago
Automated Scoring of Handwritten Essays Based on Latent Semantic Analysis
Handwritten essays are widely used in educational assessments, particularly in classroom instruction. This paper concerns the design of an automated system for performing the task ...
Sargur N. Srihari, Jim Collins, Rohini K. Srihari,...
ICASSP
2011
IEEE
12 years 11 months ago
Occlusion-based depth ordering on monocular images with Binary Partition Tree
This paper proposes a system to relate objects in an image using occlusion cues and arrange them according to depth. The system does not rely on any a priori knowledge of the scen...
Guillem Palou, Philippe Salembier
GBRPR
2007
Springer
13 years 11 months ago
Image Classification Using Marginalized Kernels for Graphs
We propose in this article an image classification technique based on kernel methods and graphs. Our work explores the possibility of applying marginalized kernels to image process...
Emanuel Aldea, Jamal Atif, Isabelle Bloch
CVPR
2010
IEEE
13 years 11 months ago
Large-Scale Image Categorization with Explicit Data Embedding
Kernel machines rely on an implicit mapping of the data such that non-linear classification in the original space corresponds to linear classification in the new space. As kernel ...
Florent Perronnin, Jorge Sanchez, Yan Liu