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ICML
2003
IEEE
14 years 9 months ago
Hidden Markov Support Vector Machines
This paper presents a novel discriminative learning technique for label sequences based on a combination of the two most successful learning algorithms, Support Vector Machines an...
Yasemin Altun, Ioannis Tsochantaridis, Thomas Hofm...
CVPR
2010
IEEE
14 years 5 months ago
Discriminative Clustering for Image Co-segmentation
Purely bottom-up, unsupervised segmentation of a single image into two segments remains a challenging task for computer vision. The co-segmentation problem is the process of joi...
Armand Joulin, Francis Bach, Jean Ponce
CVPR
2010
IEEE
14 years 5 months ago
Sufficient Dimensionality Reduction for Visual Sequence Classification
When classifying high-dimensional sequence data, traditional methods (e.g., HMMs, CRFs) may require large amounts of training data to avoid overfitting. In such cases dimensional...
Alex Shyr, Raquel Urtasun, Michael Jordan
TACAS
2009
Springer
131views Algorithms» more  TACAS 2009»
14 years 3 months ago
Verifying Reference Counting Implementations
Reference counting is a widely-used resource management idiom which maintains a count of references to each resource by incrementing the count upon an acquisition, and decrementing...
Michael Emmi, Ranjit Jhala, Eddie Kohler, Rupak Ma...
ESTIMEDIA
2009
Springer
14 years 3 months ago
The wizard of OS: a heartbeat for Legacy multimedia applications
—Multimedia applications are often characterised by implicit temporal constraints but, in many cases, they are not programmed using any specialised real-time API. These “Legacy...
Tommaso Cucinotta, Luca Abeni, Luigi Palopoli, Fab...