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...
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...
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...
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...
—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...