In this paper we look at combining and compressing a set of workflows, such that computation can be minimized. In this context, we look at two novel theoretical problems with appl...
Dhrubajyoti Saha, Abhishek Samanta, Smruti R. Sara...
Feature extraction and classification are two important components in pattern recognition. In this paper, we propose dynamic target classification in WSNs. The main idea of this a...
We consider pixel labeling problems where the label set
forms a tree, and where the observations are also labels.
Such problems arise in feature-space analysis with a very
large...
Pedro Felzenszwalb, Gyula Pap, Eva Tardos, Ramin Z...
Texture mapping has been a fundamental feature for commodity graphics hardware. However, a key challenge for texture mapping is how to store and manage large textures on graphics ...
We introduce a semi-supervised support vector machine (S3 VM) method. Given a training set of labeled data and a working set of unlabeled data, S3 VM constructs a support vector m...