Travelled to:1 × Germany
1 × Israel
1 × Sweden
2 × USA
Collaborated with:G.Saygili E.A.Hendriks L.Zhang ∅ Y.Guo H.Dibeklioglu S.Vanderlooy I.G.Sprinkhuizen-Kuyper M.Chen S.Tyree K.Q.Weinberger M.R.Min Z.Yuan A.J.Bonner Z.Zhang
Talks about:learn (3) stereo (2) object (2) confid (2) transduct (1) distribut (1) discrimin (1) transpar (1) supervis (1) recognit (1)
Person: Laurens van der Maaten
DBLP: Maaten:Laurens_van_der
Contributed to:
2014
201320112010
2007Wrote 8 papers:
- ICPR-2014-GuoDM #graph #recognition
- Graph-Based Kinship Recognition (YG, HD, LvdM), pp. 4287–4292.
- ICPR-2014-SaygiliMH #metric #similarity #using
- Stereo Similarity Metric Fusion Using Stereo Confidence (GS, LvdM, EAH), pp. 2161–2166.
- ICPR-2014-SaygiliMH14a #artificial reality #hybrid #refinement
- Hybrid Kinect Depth Map Refinement for Transparent Objects (GS, LvdM, EAH), pp. 2751–2756.
- ICPR-2014-ZhangM #adaptation #detection
- Improving Object Tracking by Adapting Detectors (LZ, LvdM), pp. 1218–1223.
- ICML-c1-2013-MaatenCTW #learning
- Learning with Marginalized Corrupted Features (LvdM, MC, ST, KQW), pp. 410–418.
- ICML-2011-Maaten #kernel #learning
- Learning Discriminative Fisher Kernels (LvdM), pp. 217–224.
- ICML-2010-MinMYBZ
- Deep Supervised t-Distributed Embedding (MRM, LvdM, ZY, AJB, ZZ), pp. 791–798.
- MLDM-2007-VanderlooyMS #empirical #evaluation #learning
- Off-Line Learning with Transductive Confidence Machines: An Empirical Evaluation (SV, LvdM, IGSK), pp. 310–323.