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2010 – 2019
- 2010
[c11]Vineet Bharti, Pankaj Kankar, Lokesh Setia, Gonca Gürsun, Anukool Lakhina
, Mark Crovella:
Inferring invisible traffic. CoNEXT 2010: 22
2000 – 2009
- 2009
- [c10]Yonghua Xie, Lokesh Setia, Hans Burkhardt:
Face Recognition Based on Invariant Eigenvectors and Hausdorff Fraction Distance. FSKD (4) 2009: 453-457 - 2008
- [b1]Lokesh Setia:
Machine learning strategies for content based image retrieval. University of Freiburg, 2008 - [j2]Lokesh Setia, Alexandra Teynor, Alaa Halawani, Hans Burkhardt:
Grayscale medical image annotation using local relational features. Pattern Recognit. Lett. 29(15): 2039-2045 (2008) - [c9]Yonghua Xie, Lokesh Setia, Hans Burkhardt:
Using Weighted DCT Spatial Combination Histogram Features for Color Image Retrieval. ICNC (7) 2008: 388-394 - 2007
- [c8]Yonghua Xie, Lokesh Setia, Hans Burkhardt:
Block DCT Vectors Construction for Face Retrieval Based on Genetic Algorithm. ICNC (3) 2007: 770-775 - 2006
- [j1]Alaa Halawani, Alexandra Teynor, Lokesh Setia, Gerd Brunner, Hans Burkhardt:
Fundamentals and Applications of Image Retrieval: An Overview. Datenbank-Spektrum 18: 14-23 (2006) - [c7]Lokesh Setia, Alexandra Teynor, Alaa Halawani, Hans Burkhardt:
Grayscale Radiograph Annotation Using Local Relational Features. CLEF 2006: 644-651 - [c6]Lokesh Setia, Alexandra Teynor, Alaa Halawani, Hans Burkhardt:
University of Freiburg at ImageCLEF06 - Radiograph Annotation Using Local Relational Features. CLEF (Working Notes) 2006 - [c5]Alexandra Teynor, Esa Rahtu, Lokesh Setia, Hans Burkhardt:
Properties of Patch Based Approaches for the Recognition of Visual Object Classes. DAGM-Symposium 2006: 284-293 - [c4]Lokesh Setia, Hans Burkhardt:
Feature Selection for Automatic Image Annotation. DAGM-Symposium 2006: 294-303 - [c3]Lokesh Setia, Alexandra Teynor, Alaa Halawani, Hans Burkhardt:
Image classification using cluster cooccurrence matrices of local relational features. Multimedia Information Retrieval 2006: 173-182 - 2005
- [c2]Lin Mei, Gerd Brunner, Lokesh Setia, Hans Burkhardt:
Kernel Biased Discriminant Analysis Using Histogram Intersection Kernel for Content-Based Image Retrieval. IDEAL 2005: 63-70 - [c1]Lokesh Setia, Julia Ick, Hans Burkhardt:
SVM-based Relevance Feedback in Image Retrieval using Invariant Feature Histograms. MVA 2005: 542-545
Coauthor Index
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