|
|
Jaume Amores, & Petia Radeva. (2003). Elastic Matching and Retrieval of IVUS Images Using Contextual Information.
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|
|
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Jaume Amores, N. Sebe, & Petia Radeva. (2005). Efficient Object-Class Recognition by Boosting Contextual Information.
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Jaume Amores, & Petia Radeva. (2005). Registration and Retrieval of Highly Elastic Bodies using Contextual Information. PRL - Pattern Recognition Letters, 26(11), 1720–1731.
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|
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Jaume Amores, & Petia Radeva. (2005). Retrieval of IVUS Images Using Contextual Information and Elastic Matching. International Journal on Intelligent Systems, 20(5):541–560 (IF: 0.657).
|
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Jaume Amores, N. Sebe, & Petia Radeva. (2006). Boosting the distance estimation: Application to the K-Nearest Neighbor Classifier. PRL - Pattern Recognition Letters, 27(3), 201–209.
|
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|
|
Jaume Amores, N. Sebe, & Petia Radeva. (2007). Context-Based Object-Class Recognition and Retrieval by Generalized Correlograms. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29(10):1818–1833, (ISI 3,81).
|
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|
|
Jaume Amores, N. Sebe, & Petia Radeva. (2007). Class-Specific Binaryy Correlograms for Object Recognition. In British Machine Vision Conference.
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Yu Jie, Jaume Amores, N. Sebe, Petia Radeva, & Tian Qi. (2008). Distance Learning for Similarity Estimation. IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.30(3):451–462.
|
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|
|
Antonio Lopez, Felipe Lumbreras, A. Martinez, Joan Serrat, Xavier Roca, Javier Varona, et al. (1997). Aplicaciones de la vision por computador a la industria..
|
|
|
|
Daniel Ponsa, & Jordi Vitria. (1999). Mobile monitoring system using an agent-oriented approach.
|
|
|
|
A. Pujol, Jordi Vitria, Felipe Lumbreras, & Juan J. Villanueva. (2001). Topological principal component analysis for face encoding and recognition. PRL - Pattern Recognition Letters, 22(6-7), 769–776.
|
|
|
|
A. Dupuy, Joan Serrat, Jordi Vitria, & J. Pladellorens. (1991). Analysis of gammagraphic images by mathematical morphology. In Pattern Recognition and image Analysis: IV Spanish Symposium of Pattern Recognition and image Analysis, World Scientific Pub..
|
|
|
|
Joan Serrat, Jordi Vitria, & J. Pladellorens. (1991). Morphological Segmentation of Heart Scintigraphic image Sequences. In Computer Assisted Radiology..
|
|
|
|
H.M.G. Stokman, & Theo Gevers. (2007). Selection and Fusion of Color Models for Image Feature Detection. IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.29(3):371–381.
|
|
|
|
H. Emrah Tasli, Cevahir Çigla, Theo Gevers, & A. Aydin Alatan. (2013). Super pixel extraction via convexity induced boundary adaptation. In 14th IEEE International Conference on Multimedia and Expo (pp. 1–6).
Abstract: This study presents an efficient super-pixel extraction algorithm with major contributions to the state-of-the-art in terms of accuracy and computational complexity. Segmentation accuracy is improved through convexity constrained geodesic distance utilization; while computational efficiency is achieved by replacing complete region processing with boundary adaptation idea. Starting from the uniformly distributed rectangular equal-sized super-pixels, region boundaries are adapted to intensity edges iteratively by assigning boundary pixels to the most similar neighboring super-pixels. At each iteration, super-pixel regions are updated and hence progressively converging to compact pixel groups. Experimental results with state-of-the-art comparisons, validate the performance of the proposed technique in terms of both accuracy and speed.
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