Browsing CBCL Memos (1993 - 2004) by Author "Poggio, T."
Now showing items 1-2 of 2
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Comparing Support Vector Machines with Gaussian Kernels to Radial Basis Function Classifiers
Schoelkopf, B.; Sung, K.; Burges, C.; Girosi, F.; Niyogi, P.; e.a. (1996-12-01)The Support Vector (SV) machine is a novel type of learning machine, based on statistical learning theory, which contains polynomial classifiers, neural networks, and radial basis function (RBF) networks as special ... -
Cooperative Physics of Fly Swarms: An Emergent Behavior
Poggio, M.; Poggio, T. (1995-04-11)We have simulated the behavior of several artificial flies, interacting visually with each other. Each fly is described by a simple tracking system (Poggio and Reichardt, 1973; Land and Collett, 1974) which summarizes ...