Stem mlp$ (all stems)

14 papers:

ICDAR-2013-WeiBSI #analysis #classification #documentation #evaluation #layout

Evaluation of SVM, MLP and GMM Classifiers for Layout Analysis of Historical Documents (HW, MB, FS, RI), pp. 1220–1224.

ICPR-2012-ChowdhuryBP #detection #using

Scene text detection using sparse stroke information and MLP (ARC, UB, SKP), pp. 294–297.

DATE-2011-PhadkeN #memory management

MLP aware heterogeneous memory system (SP, SN), pp. 956–961.

ICDAR-2011-BaechlerI #analysis #layout #multi #using

Multi Resolution Layout Analysis of Medieval Manuscripts Using Dynamic MLP (MB, RI), pp. 1185–1189.

HCI-MIE-2007-HanKYJ #mobile #recursion #segmentation

Frame Segmentation Used MLP-Based X-Y Recursive for Mobile Cartoon Content (EH, KK, HY, KJ), pp. 872–881.

ICPR-v2-2006-LuXL #hybrid #recognition

A Hybrid Recognition Scheme Based on Partially Labeled SOM and MLP (SL, CX, YL), pp. 800–803.

ICDAR-2005-BhattacharyaC #classification #recognition

Fusion of Combination Rules of an Ensemble of MLP Classifiers for Improved Recognition Accuracy of Handprinted Bangla Numerals (UB, BBC), pp. 322–326.

MLDM-2005-SilvaPO #comparison

Comparison of FLDA, MLP and SVM in Diagnosis of Lung Nodule (ACS, ACdP, ACMdO), pp. 285–294.

ICDAR-2001-BelliliGG #hybrid

An Hybrid MLP-SVM Handwritten Digit Recognizer (AB, MG, PG), pp. 28–33.

SAC-2001-SerearunoH #comparison #multi #network

A comparison in training time of the single and multiple-output MLP neural networks (MS, TH), pp. 32–35.

ICPR-v2-2000-KimKNS #classification #recognition #word

A Methodology of Combining HMM and MLP Classifiers for Cursive Word Recognition (JHK, KKK, CPN, CYS), pp. 2319–2322.

ICPR-v2-2000-UmRK #clustering #comparison #verification

Comparison of Clustering Methods for MLP-Based Speaker Verification (ITU, JHR, MHK), pp. 2475–2474.

ICPR-v2-2000-VarstaHMM #human-computer #interface #performance #set

Evaluating the Performance of Three Feature Sets for Brain-Computer Interfaces with an Early Stopping MLP Committee (MV, JH, JdRM, JM), pp. 2907–2910.

ICPR-1996-BhattacharyaCP #segmentation #set

An MLP-based texture segmentation technique which does not require a feature set (UB, BBC, SKP), pp. 805–809.