Convolution kernels, such as sequence and tree kernels, are advantageous for both the concept and accuracy of many natural language processing (NLP) tasks. Experiments have, howev...
There are many algorithms in non-photorealistic rendering for representing an image as a composition of small objects. In this paper, we focus on the specific case where the obje...
- In this paper we experiment with two optimization techniques we are considering implementing in a parallelizing compiler that generates parallel code for a distributed-memory sys...
: Two sensor network protocols for the monitoring of packed food products were tested in different sea containers. The packet rate and the signal strength of all sensor-to-sensor l...
Kernel methods provide an efficient mechanism to derive nonlinear algorithms. In classification problems as well as in feature extraction, kernel-based approaches map the original...