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NECO
2007
127views more  NECO 2007»
13 years 9 months ago
Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning
We present a hierarchical architecture and learning algorithm for visual recognition and other visual inference tasks such as imagination, reconstruction of occluded images, and e...
Joseph F. Murray, Kenneth Kreutz-Delgado
KDD
2004
ACM
166views Data Mining» more  KDD 2004»
14 years 10 months ago
Predicting prostate cancer recurrence via maximizing the concordance index
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
Lian Yan, David Verbel, Olivier Saidi
ICASSP
2007
IEEE
14 years 4 months ago
Eigentongue Feature Extraction for an Ultrasound-Based Silent Speech Interface
The article compares two approaches to the description of ultrasound vocal tract images for application in a “silent speech interface,” one based on tongue contour modeling, a...
Thomas Hueber, Guido Aversano, Gérard Choll...
IJCNN
2006
IEEE
14 years 3 months ago
Improved Snake Model for Fast Image Segmentation
—This paper presents an Improved Snake Model (ISM) effective for performing fast image segmentation. The work takes advantage of two well-known snake models of Balloon [1] and GG...
Chi-Cheng Ting, Jhan-Syuan Yu, Jiun-Shuen Tzeng, J...
IJCAI
2007
13 years 11 months ago
A Fully Connectionist Model Generator for Covered First-Order Logic Programs
We present a fully connectionist system for the learning of first-order logic programs and the generation of corresponding models: Given a program and a set of training examples,...
Sebastian Bader, Pascal Hitzler, Steffen Höll...