Travelled to:
1 × Australia
1 × France
1 × Italy
1 × Spain
1 × Turkey
2 × Canada
2 × China
9 × USA
Collaborated with:
C.Hsu Y.Chiang S.Minton Y.Arens I.Muslea ∅ S.Tejada C.Shahabi J.L.Ambite K.Lerman L.Getoor O.Etzioni R.Tuchinda A.Yates C.Chen A.Goel M.Michelson M.R.Kolahdouzan M.Muslea S.Thakkar N.Ashish G.Barish P.J.Modi A.Philpot
Talks about:
learn (5) raster (4) queri (4) map (4) automat (3) semant (3) inform (3) optim (3) multi (3) view (3)
Person: Craig A. Knoblock
DBLP: Knoblock:Craig_A=
Contributed to:
Wrote 20 papers:
- ICDAR-2011-ChiangK #multi #recognition
- Recognition of Multi-oriented, Multi-sized, and Curved Text (YYC, CAK), pp. 1399–1403.
- DRR-2010-KnoblockCCGMS #approach
- A general approach to discovering, registering, and extracting features from raster maps (CAK, CCC, YYC, AG, MM, CS), pp. 1–10.
- ICPR-2010-ChiangK #approach
- An Approach for Recognizing Text Labels in Raster Maps (YYC, CAK), pp. 3199–3202.
- ICDAR-2009-ChiangK #automation
- A Method for Automatically Extracting Road Layers from Raster Maps (YYC, CAK), pp. 838–842.
- ICPR-v2-2006-ChiangK #classification #using
- Classification of Line and Character Pixels on Raster Maps Using Discrete Cosine Transformation Coefficients and Support Vector Machine (YYC, CAK), pp. 1034–1037.
- SIGMOD-2004-LermanGMK #automation #segmentation #using #web
- Using the Structure of Web Sites for Automatic Segmentation of Tables (KL, LG, SM, CAK), pp. 119–130.
- KDD-2003-EtzioniTKY #mining
- To buy or not to buy: mining airfare data to minimize ticket purchase price (OE, RT, CAK, AY), pp. 119–128.
- ICML-2002-MusleaMK #learning #multi #robust
- Active + Semi-supervised Learning = Robust Multi-View Learning (IM, SM, CAK), pp. 435–442.
- ICML-2002-MusleaMK02a #adaptation #automation #detection #towards #validation
- Adaptive View Validation: A First Step Towards Automatic View Detection (IM, SM, CAK), pp. 443–450.
- KDD-2002-TejadaKM #identification #independence #learning #string
- Learning domain-independent string transformation weights for high accuracy object identification (ST, CAK, SM), pp. 350–359.
- VLDB-2001-AmbiteKKMST #integration #web
- The WorlInfo Assistant: Spatio-Temporal Information Integration on the Web (JLA, CAK, MRK, MM, CS, ST), pp. 717–718.
- SIGMOD-1998-AmbiteABKMMMPT #internet #named
- ARIADNE: A System for Constructing Mediators for Internet Sources (JLA, NA, GB, CAK, SM, PJM, IM, AP, ST), pp. 561–563.
- AKDDM-1996-HsuK #induction #learning #optimisation #query #semantics #using
- Using Inductive Learning To Generate Rules for Semantic Query Optimization (CNH, CAK), pp. 425–445.
- KDD-1995-HsuK #information management #robust
- Estimating the Robustness of Discovered Knowledge (CNH, CAK), pp. 156–161.
- CIKM-1994-ArensK #representation #reuse
- Intelligent Caching: Selecting, Representing, and Reusing Data in an Information Server (YA, CAK), pp. 433–438.
- ICML-1994-HsuK #optimisation #query #semantics
- Rule Introduction for Semantic Query Optimization (CNH, CAK), pp. 112–120.
- KDD-1994-HsuK #induction #optimisation #query #semantics
- Rule Induction for Semantic Query Optimization (CNH, CAK), pp. 311–322.
- CIKM-1993-HsuK #multi #query
- Reformulating Query Plans for Multidatabase Systems (CNH, CAK), pp. 423–432.
- SIGMOD-1993-ArensK #multi #named
- SIMS: Retrieving and Integrating Information From Multiple Sources (YA, CAK), pp. 562–563.
- ML-1989-Knoblock #abstraction #learning
- Learning Hierarchies of Abstraction Spaces (CAK), pp. 241–245.