This paper presents a novel approach to object recognition involving a sparse 2D model and matching using video. The model is generated on the basis of geometry and image measurab...
Humera Noor, Shahid H. Mirza, Yaser Sheikh, Amit J...
— Orthogonal Neighborhood Preserving Projections (ONPP) is a linear dimensionality reduction technique which attempts to preserve both the intrinsic neighborhood geometry of the ...
In this paper, we will describe some heuristics that can be used to improve the runtime of a wide range of commonly used algorithms for the negative cycle detection problem signiï¬...
Dense subgraphs of sparse graphs (communities), which appear in most real-world complex networks, play an important role in many contexts. Computing them however is generally expe...
Network on Chip (NoC) is a new paradigm for designing core based System on Chips. It supports high degree of reusability and is scalable. In this paper, an efficient Two-Step Gene...