12 papers:
DRR-2015-ClawsonB #automation- Intelligent indexing: a semi-automated, trainable system for field labeling (RC, WAB).
ICML-c2-2014-BengioLAY #generative #network #probability- Deep Generative Stochastic Networks Trainable by Backprop (YB, EL, GA, JY), pp. 226–234.
DRR-2010-BeusekomRB #detection #multi- Trainable multiscript orientation detection (JvB, YR, TMB), pp. 1–10.
ICPR-2010-LiPBT #2d #recognition- Improved Facial Expression Recognition with Trainable 2-D Filters and Support Vector Machines (PL, SLP, AB, FHCT), pp. 3732–3735.
ICPR-v3-2006-PaclikND #classification #image #similarity- A Trainable Similarity Measure for Image Classification (PP, JN, RPWD), pp. 391–394.
ICPR-v1-2004-HallOC #detection #low level- A Trainable Low-level Feature Detector (PMH, MO, JPC), pp. 708–711.
SIGIR-2003-LinNNNSTNA #multimodal #using #video- User-trainable video annotation using multimodal cues (CYL, MRN, AN, CN, JRS, BLT, HJN, WHA), pp. 403–404.
ICPR-v1-2002-ChengCO #image #markov- A Trainable Hierarchical Hidden Markov Tree Model for Color Image Annotation (LC, TC, VO), pp. 192–195.
ICPR-v3-2002-CesariMSS #documentation #image- Trainable Table Location in Document Images (FC, SM, LS, GS), pp. 236–240.
ICDAR-1999-ChaudhuryS #identification- Trainable Script Identification Strategies for Indian Languages (SC, RS), pp. 657–660.
ICDAR-v2-1995-SylwesterS #algorithm #segmentation- A trainable, single-pass algorithm for column segmentation (DS, SCS), pp. 615–618.
SIGIR-1995-KupiecPC #documentation- A Trainable Document Summarizer (JK, JOP, FC), pp. 68–73.