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» Optimizing Learning in Image Retrieval
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ACCV
2007
Springer
14 years 1 days ago
Embedding a Region Merging Prior in Level Set Vector-Valued Image Segmentation
In the scope of level set image segmentation, the number of regions is fixed beforehand. This number occurs as a constant in the objective functional and its optimization. In this...
Ismail Ben Ayed, Amar Mitiche
ICML
2009
IEEE
14 years 11 months ago
Online dictionary learning for sparse coding
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
ICIAP
2003
ACM
14 years 10 months ago
Old fashioned state-of-the-art image classification
In this paper we present a statistical learning scheme for image classification based on a mixture of old fashioned ideas and state of the art learning tools. We represent input i...
Annalisa Barla, Francesca Odone, Alessandro Verri
ACL
2012
12 years 19 days ago
Collective Generation of Natural Image Descriptions
We present a holistic data-driven approach to image description generation, exploiting the vast amount of (noisy) parallel image data and associated natural language descriptions ...
Polina Kuznetsova, Vicente Ordonez, Alexander C. B...
AMR
2007
Springer
154views Multimedia» more  AMR 2007»
14 years 4 months ago
Comparison of Dimension Reduction Methods for Database-Adaptive 3D Model Retrieval
Distance measures, along with shape features, are the most critical components in a shape-based 3D model retrieval system. Given a shape feature, an optimal distance measure will v...
Ryutarou Ohbuchi, Jun Kobayashi, Akihiro Yamamoto,...