Stem perceptron$ (all stems)

27 papers:

MLDM-2015-CostaFK #multi #using

Classifying Grasslands and Cultivated Pastures in the Brazilian Cerrado Using Support Vector Machines, Multilayer Perceptrons and Autoencoders (WC, LMGF, TSK), pp. 187–198.

ICML-c1-2014-RamdasP #kernel

Margins, Kernels and Non-linear Smoothed Perceptrons (AR, JP), pp. 244–252.

ICML-c2-2014-YuKC #algorithm

Saddle Points and Accelerated Perceptron Algorithms (AWY, FKK, JGC), pp. 1827–1835.

ICPR-2014-Jain #graph

Margin Perceptrons for Graphs (BJJ), pp. 3851–3856.

ICML-2012-CotterSS #kernel #probability

The Kernelized Stochastic Batch Perceptron (AC, SSS, NS), p. 98.

ICDAR-2011-SuLZ #learning #polynomial

Perceptron Learning of Modified Quadratic Discriminant Function (THS, CLL, XYZ), pp. 1007–1011.

ICML-2010-PanagiotakopoulosT

The Margin Perceptron with Unlearning (CP, PT), pp. 855–862.

ICPR-2010-KusakunniranWZL #multi #recognition #using

Multi-view Gait Recognition Based on Motion Regression Using Multilayer Perceptron (WK, QW, JZ, HL), pp. 2186–2189.

CIKM-2009-ChenWL #kernel #learning #novel #rank

Learning to rank with a novel kernel perceptron method (XwC, HW, XL), pp. 505–512.

ICML-2009-ChengSS #markov #matrix #modelling

Matrix updates for perceptron training of continuous density hidden Markov models (CCC, FS, LKS), pp. 153–160.

ICML-2009-Sutskever #analysis

A simpler unified analysis of budget perceptrons (IS), pp. 985–992.

ICML-2008-OrabonaKC #bound #kernel

The projectron: a bounded kernel-based Perceptron (FO, JK, BC), pp. 720–727.

ICML-2004-CollobertB

Links between perceptrons, MLPs and SVMs (RC, SB).

ICPR-v3-2004-HaugerW #multi

ECOC and Boosting with Multi-Layer Perceptrons (SH, TW), pp. 458–461.

HPCA-2004-AkkarySKPR #branch #estimation

Perceptron-Based Branch Confidence Estimation (HA, STS, RK, YP, WR), pp. 265–275.

ICML-2003-GeibelW #learning

Perceptron Based Learning with Example Dependent and Noisy Costs (PG, FW), pp. 218–225.

ICML-2003-Harrington #algorithm #collaboration #online #ranking #using

Online Ranking/Collaborative Filtering Using the Perceptron Algorithm (EFH), pp. 250–257.

ICML-2002-LiZHSK #algorithm

The Perceptron Algorithm with Uneven Margins (YL, HZ, RH, JST, JSK), pp. 379–386.

ICDAR-2001-SuralD01a #fuzzy #multi #recognition #using

Recognition of an Indian Script Using Multilayer Perceptrons and Fuzzy Features (SS, PKD), pp. 1120–1125.

HPCA-2001-JimenezL #branch #predict

Dynamic Branch Prediction with Perceptrons (DAJ, CL), pp. 197–206.

ICPR-v2-2000-WangXD #integration #multi #network #recognition

A New Integration Scheme with Multi-Layer Perceptron Networks for Handwritten Chinese Character Recognition (CHW, BX, RD), pp. 2961–2964.

SIGIR-1997-NgGL #case study #categorisation #feature model #learning #usability

Feature Selection, Perceptron Learning, and a Usability Case Study for Text Categorization (HTN, WBG, KLL), pp. 67–73.

ICPR-1996-EigenmannN #robust

Constructive and robust combination of perceptrons (RE, JAN), pp. 195–199.

ICPR-1996-Raudys #classification #design #linear

Linear classifiers in perceptron design (SR), pp. 763–767.

ICDAR-v2-1995-RondelB #documentation #estimation #image #multi

Cooperation of multi-layer perceptrons for the estimation of skew angle in text document images (NR, GB), pp. 1141–1144.

SAC-1994-RitschelPG #classification #multi #rating

Rating of pattern classifications in multi-layer perceptrons: theoretical background and practical results (WR, TP, RG), pp. 142–144.

ICDAR-1993-Bernard #multi #recognition

Multilayer perceptron and uppercase handwritten characters recognition (IB), pp. 935–938.