Using ranking SVM to accelerate the uation process of Object Recognition without decreasing accuracy

DetectionProposal(CVPR'11)\detection_proposal.m
..........................\VOCcode\cv210.dll
..........................\.......\cvlib_mex.c
..........................\.......\cvlib_mex.mexw64
..........................\.......\cxcore210.dll
..........................\.......\dp_evaluate_bbox.m
..........................\.......\dp_extract_sp_features.m
..........................\.......\dp_init_spatial_filter.m
..........................\.......\dp_locate_bbox_linear.m
..........................\.......\dp_refine_sp_rank_linear.m
..........................\.......\glpk.m
..........................\.......\glpkcc.mexw64
..........................\.......\mexBinaryPegasos.cpp
..........................\.......\mexBinaryPegasos.mexw64
..........................\.......\mexLocalMax.cpp
..........................\.......\mexLocalMax.mexw64
..........................\.......\mexOverlap.cpp
..........................\.......\mexOverlap.mexw64
..........................\.......\mexRankPegasos.cpp
..........................\.......\mexRankPegasos.mexw64
..........................\.......\mexSparseMatrices.cpp
..........................\.......\mexSparseMatrices.mexw64
..........................\.......\mexTrueLocation.cpp
..........................\.......\mexTrueLocation.mexw64
..........................\.......\Multiclass_LPBoost.m
..........................\.......\normalize.m
..........................\.......\rankSVM_online.m
..........................\.......\rank_pegasos.m
..........................\.......\VOCinit.m
..........................\.......\VOG.m
..........................\VOCcode
DetectionProposal(CVPR'11)

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