Travelled to:
1 × Australia
1 × Austria
1 × China
1 × France
1 × Germany
1 × Japan
1 × Spain
1 × United Kingdom
2 × Canada
2 × USA
Collaborated with:
B.Bhanu P.Zhang D.R.Heisterkamp H.K.Dai K.Palaniappan ∅ R.J.Williams B.P.Buckles I.Ersoy F.Bunyak S.Candemir G.Seetharaman D.D.Zeng H.Zhao F.Wang A.C.Kaluarachchi A.S.Varde S.J.Bedathur G.Weikum A.Feldman E.Zhong W.Fan K.Zhang J.Ren D.S.Turaga O.Verscheure
Talks about:
learn (5) classif (4) base (4) retriev (3) imag (3) reinforc (2) recognit (2) object (2) kernel (2) filter (2)
Person: Jing Peng
DBLP: Peng:Jing
Contributed to:
Wrote 14 papers:
- ICPR-2012-ErsoyBPP #classification #image #using
- HEp-2 cell classification in IIF images using Shareboost (IE, FB, JP, KP), pp. 3362–3365.
- ICPR-2012-PengPCS #data fusion
- KL based data fusion for target tracking (JP, KP, SC, GS), pp. 3480–3483.
- CIKM-2010-KaluarachchiVBWPF #evolution #query #retrieval
- Incorporating terminology evolution for query translation in text retrieval with association rules (ACK, ASV, SJB, GW, JP, AF), pp. 1789–1792.
- CIKM-2010-PengZZW #collaboration #recommendation #social
- Collaborative filtering in social tagging systems based on joint item-tag recommendations (JP, DDZ, HZ, FYW), pp. 809–818.
- KDD-2009-ZhongFPZRTV #adaptation #kernel
- Cross domain distribution adaptation via kernel mapping (EZ, WF, JP, KZ, JR, DST, OV), pp. 1027–1036.
- ICPR-v2-2006-ZhangPB #classification #learning #representation
- Learning Optimal Filter Representation for Texture Classification (PZ, JP, BPB), pp. 1138–1141.
- ICPR-v1-2004-ZhangP #classification
- SVM vs Regularized Least Squares Classification (PZ, JP), pp. 176–179.
- ICPR-v3-2002-PengHD #adaptation #classification #kernel #metric #nearest neighbour
- Adaptive Kernel Metric Nearest Neighbor Classification (JP, DRH, HKD), pp. 33–36.
- ICPR-v4-2000-HeisterkampPD #image #learning #query #retrieval
- Feature Relevance Learning with Query Shifting for Content-Based Image Retrieval (DRH, JP, HKD), pp. 4250–4253.
- MLDM-1999-PengB #analysis #image #independence #retrieval
- Independent Feature Analysis for Image Retrieval (JP, BB), pp. 103–115.
- ICPR-1998-PengB #learning #recognition
- Local reinforcement learning for object recognition (JP, BB), pp. 272–274.
- ICPR-1996-PengB #learning #recognition
- Delayed reinforcement learning for closed-loop object recognition (JP, BB), pp. 310–314.
- ICML-1995-Peng #performance #programming
- Efficient Memory-Based Dynamic Programming (JP), pp. 438–446.
- ICML-1994-PengW #incremental #multi
- Incremental Multi-Step Q-Learning (JP, RJW), pp. 226–232.