Fast Learning and Invariant Object Recognition: The Sixth- Generation Breakthrough
B Soucek · Medical Entomology and Zoology · 1992
FAST LEARNING Learning to See (A. Franich & B. Sou ek) Fast Back Propagation with Adaptive Decoupled Momentum (A. Minai & R. Williams) Second Order Gradient Methods in Back Propagation (S. Piramuthu) Constructing Efficient Features for Back Propagation (S. Piramuthu) How Slow Processes Can Think Fast in Concurrent Logic? (F. Kozato & G. Ringwood) How to Deal with Multiple Possible Generalizers (D. Wolpert) Infinitesimal Versus Discrete Methods in Neural Network Synthesis (A. Albrecht) Systolic Array Implementation of Neural Networks (J. Chung, et al.) INVARIANT OBJECT RECOGNITION Translation Invariant Neural Networks (S. Wilson) Higher Order Neural Networks in Position, Scale, and Rotation Invariant Object Recognition (L. Spirkovska & M. Reid) Visual Tracking with Object Classification: Neural Network Approach (A. Dobnikar, et al.) A Neural Network Approach to Landmark Based Shape Recognition (N. Ansari & K. Li) Directed and Undirected Segmentation of Three-Dimensional Ultrasonograms (R. Silverman) Implementation of Neural Networks on Parallel Architectures and Invariant Object Recognition (M. Misra & V. Prasanna) Index.