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AAAI
2012
12 years 6 days ago
Relative Attributes for Enhanced Human-Machine Communication
We propose to model relative attributes1 that capture the relationships between images and objects in terms of human-nameable visual properties. For example, the models can captur...
Devi Parikh, Adriana Kovashka, Amar Parkash, Krist...
ICALT
2009
IEEE
14 years 4 months ago
Mediating Distribution Models and Access Control for the Exchange of Learning Objects
This paper presents a learning object broker that aims to mediate and control accesses to learning objects offered by the “Learning Resource Exchange”. This broker provides a u...
Jean-Noel Colin, Tien-Dung Le, David Massart
CVPR
2012
IEEE
12 years 7 days ago
The Shape Boltzmann Machine: A strong model of object shape
A good model of object shape is essential in applications such as segmentation, object detection, inpainting and graphics. For example, when performing segmentation, local constra...
S. M. Ali Eslami, Nicolas Heess, John M. Winn
ISMIS
2005
Springer
14 years 3 months ago
A Machine Text-Inspired Machine Learning Approach for Identification of Transmembrane Helix Boundaries
In this paper, we adapt a statistical learning approach, inspired by automated topic segmentation techniques in speech-recognized documents to the challenging protein segmentation ...
Betty Yee Man Cheng, Jaime G. Carbonell, Judith Kl...
ICML
2010
IEEE
13 years 11 months ago
Modeling Transfer Learning in Human Categorization with the Hierarchical Dirichlet Process
Transfer learning can be described as the tion of abstract knowledge from one learning domain or task and the reuse of that knowledge in a related domain or task. In categorizatio...
Kevin R. Canini, Mikhail M. Shashkov, Thomas L. Gr...