Recently there is much interest in moving objects databases, and data models and query languages have been proposed offering data types such as moving point and moving region toge...
In this paper, we study the area-balanced multi-way partitioning problem of VLSI circuits based on a new dual netlist representation named the hybrid dual netlist (HDN), and propo...
In this paper, a motion-based approach for detecting highlevel semantic events in video sequences is presented. Its main characteristic is its generic nature, i.e. it can be direc...
Exemplar-based techniques, such as k-nearest neighbors (kNNs) and Sparse Representations (SRs), can be used to model a test sample from a few training points in a dictionary set. ...
Tara N. Sainath, David Nahamoo, Bhuvana Ramabhadra...
Low-Rank Representation (LRR) [16, 17] is an effective method for exploring the multiple subspace structures of data. Usually, the observed data matrix itself is chosen as the dic...