In this paper we address two aspects related to the exploitation of Support Vector Machines (SVM) for classification in real application domains, such as the detection of objects ...
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...
As a software system evolves to accommodate new features and repair bugs, changes are needed. Software components are interdependent, changes made to one component can require cha...
The significant growth in computational power of modern Graphics Processing Units(GPUs) coupled with the advent of general purpose programming environments like NVIDA's CUDA,...
Kishore Kothapalli, Rishabh Mukherjee, M. Suhail R...
In this work, we present intrinsic shape context (ISC) descriptors for 3D shapes. We generalize to surfaces the polar sampling of the image domain used in shape contexts: for this...
Iasonas Kokkinos, Michael M. Bronstein, Roee Litma...