Many solutions to computer vision and image processing problems involve the minimization of multi-label energy functions with up to K variables in each term. In the minimization pr...
In this paper we present a distributed, application-morphable, algorithm for waking up appropriate sensor nodes in a heterogeneous sensor network. We assume a sensor field consisti...
Akis Spyropoulos, Cauligi S. Raghavendra, Viktor K...
Reconfigurable hardware resources are very expensive, and yet can be underutilized. This paper describes a middleware capable of discovering underutilized computing nodes with FPG...
Kris Gaj, Tarek A. El-Ghazawi, Nikitas A. Alexandr...
We start by showing that in an active learning setting, the Perceptron algorithm needs Ω( 1 ε2 ) labels to learn linear separators within generalization error ε. We then prese...
Sanjoy Dasgupta, Adam Tauman Kalai, Claire Montele...
Co-clustering is a powerful data mining technique with varied applications such as text clustering, microarray analysis and recommender systems. Recently, an informationtheoretic ...
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Gho...