75 citations · 376 across the 56 of their papers we have counts for
4 papers · 1 filter
Greedy Block Coordinate Descent for Large Scale Gaussian Process Regression
Liefeng Bo, Cristian Sminchisescu
We propose a variable decomposition algorithm -greedy block coordinate descent (GBCD)- in order to make dense Gaussian process regression practical for large scale problems. GBCD b…
A Linear Approximation to the chi^2 Kernel with Geometric Convergence
Fuxin Li, Guy Lebanon, Cristian Sminchisescu
We propose a new analytical approximation to the kernel that converges geometrically. The analytical approximation is derived with elementary methods and adapts to the input…
Learning Random Kernel Approximations for Object Recognition
Eduard Gabriel Băzăvan, Fuxin Li, Cristian Sminchisescu
Approximations based on random Fourier features have recently emerged as an efficient and formally consistent methodology to design large-scale kernel machines. By expressing the k…
Generalized Boundaries from Multiple Image Interpretations
Marius Leordeanu, Rahul Sukthankar, Cristian Sminchisescu
Boundary detection is essential for a variety of computer vision tasks such as segmentation and recognition. In this paper we propose a unified formulation and a novel algorithm th…