Abstract-- We consider the problem of Spectrum Sensing in Cognitive Radio Networks. In our previous work we have developed DualCUSUM, a distributed algorithm for change detection a...
There is an ever increasing number of electronic documents available today and the task of organizing and categorizing this ever growing corpus of electronic documents has become t...
This article proposes an algorithm to automatically learn useful transformations of data to improve accuracy in supervised classification tasks. These transformations take the for...
We observe that finding invalid signatures in batches of signatures that fail batch verification is an instance of the classical group testing problem. We present and compare new ...
This paper deals with the problem of efficiently computing the optical flow of image sequences acquired by omnidirectional (nearly full field of view) cameras. We formulate the pr...
Luigi Bagnato, Pascal Frossard, Pierre Vandergheyn...
In this paper we continue the study of a strict extension of the Computation Tree Logic, called graded-CTL, recently introduced by the same authors. This new logic augments the sta...
Clustering streaming data requires algorithms which are capable of updating clustering results for the incoming data. As data is constantly arriving, time for processing is limited...
Philipp Kranen, Ira Assent, Corinna Baldauf, Thoma...
We present a taxonomy for local distance functions where most existing algorithms can be regarded as approximations of the geodesic distance defined by a metric tensor. We categor...
The human visual system observes and understands a scene/image by making a series of fixations. Every "fixation point" lies inside a particular region of arbitrary shape...
Ajay K. Mishra, Yiannis Aloimonos, Loong Fah Cheon...
We propose a subspace learning algorithm for face recognition by directly optimizing recognition performance scores. Our approach is motivated by the following observations: 1) Di...