Abstract. Matrix factorization is a fundamental building block in many computer vision and machine learning algorithms. In this work we focus on the problem of ”structure from mo...
Spatial databases support a variety of geometric queries on point data such as range searches, nearest neighbor searches, etc. Balanced Aspect Ratio (BAR) trees are hierarchical sp...
At the present time, the use of mobile technology in business, is becoming an opportunity to generate competitive advantages within organization environments. Mobile technology he...
Ana Hilda Morales-Aranda, Oscar Mayora-Ibarra, San...
This paper examines the way in which a knowledge management system (KMS)—by which we mean the people, processes and software—came into being and evolved in response to a varie...
Christine Halverson, Thomas Erickson, Mark S. Acke...
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...