ICML2011: recognizing human-object interaction activities
Matrix Computations in Machine Learning
December 5, 2012 MASTODONS meeting Laboratoire de lAccélérateur Linéaire (LAL) / CNRS & Université Paris Sud Laboratoire de la Recherche en Informatique.
“Identifying Suspicious URLs: An Application of Large-Scale Online Learning” Paper by Justin Ma, Lawrence K. Saul, Stefan Savage, and Geoffrey M. Voelker.
Bayesian Learning, Part 1 of (probably) 4 Reading: DH&S, Ch. 2.{1-5}, 3.{1-4}
Direct Convex Relaxations of Sparse SVM Antoni B. Chan, Nuno Vasconcelos, and Gert R. G. Lanckriet The 24th International Conference on Machine Learning.
Scalable Methods for the Analysis of Network-Based Data MURI Project: University of California, Irvine Project Meeting May 25 th 2010 Principal Investigator:
Dynamic Tree Block Coordinate Ascent Daniel Tarlow 1, Dhruv Batra 2 Pushmeet Kohli 3, Vladimir Kolmogorov 4 1: University of Toronto3: Microsoft Research.
Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution
CpSc 881: Machine Learning Introduction. 2 Copy Right Notice Most slides in this presentation are adopted from slides of text book and various sources.
Change Detection in Data Streams by Testing Exchangeability
K-Means clustering accelerated algorithms using the triangle inequality Ottawa-Carleton Institute for Computer Science Alejandra Ornelas Barajas School.