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B
Bach M, Thiran J, Marqués F. How can physicians quantify brain degeneration?. In: Dutoit T, Marqués F. Applied signal processing. 2009. pp. 411–449.
Bellver M, Giró-i-Nieto X, Marqués F, Torres J. Hierarchical Object Detection with Deep Reinforcement Learning. In Deep Learning for Image Processing Applications. Amsterdam, The Netherlands: IOS Press; 2017.
Bellver M, Giró-i-Nieto X, Marqués F, Torres J. Hierarchical Object Detection with Deep Reinforcement Learning. In Deep Reinforcement Learning Workshop, NIPS 2016. 2016.  (877.51 KB)
Benediktsson J, Bruzzone L, Chanussot J, Dalla Mura M, Salembier P, Valero S. Hierarchical analysis of remote sensing data: morphological attribute profiles and binary partition trees. In International Symposium on Mathematical Morphology 2011. Intra, Lake Maggiore, Italy; 2011. pp. 306–319.  (394.77 KB)
Bonet D, Mas-Montserrat D, Giró-i-Nieto X, Ioannidis AG. HyperFast: Instant Classification for Tabular Data. In 38th Annual AAAI Conference on Artificial Intelligence (AAAI). 2024.  (3.15 MB)
Bosio M. Hierarchical information representation and efficient classification of gene expression microarray data. Salembier P, Oliveras A. TSC. [Barcelona]: Universitat Politecnica de Catalunya; 2014. p. 150.  (2.76 MB)
Bosio M, Salembier P, Bellot P, Oliveras A. Hierarchical Clustering Combining Numerical and Biological Similarities for Gene Expression Data Classification. In 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’13) . Osaka, Japan: IEEE EMBS; 2013.  (435.72 KB)
C
Calderero F, Marqués F, Marcello J, Eugenio F. Hierarchical segmentation of vegetation areas in high spatial resolution images by fusion of multispectral information. In 2009 IEEE International Geoscience and Remote Sensing Symposium. 2009. pp. 232–235.
Calderero F, Marqués F. Hierarchical fusion of color and depth information at partition level by cooperative region merging. In IEEE International Conference on Acoustics, Speech and Signal Processing 2009. 2009. pp. 973–976.
Canton-Ferrer C, Casas J, Pardàs M. Head Orientation Estimation Using Particle Filtering in Multiview Scenarios. In Multimodal Technologies for Perception of Humans. Berlin / Heidelberg: Springer; 2008. pp. 317–327.
Canton-Ferrer C, Casas J, Pardàs M. Head Orientation Estimation using Particle Filtering in Multiview Scenarios. In CLEAR'07 Second International Evaluation Workshop on Classification of Events, Activities and Relationships. 2007. pp. 1–11.
Canton-Ferrer C, Canton-Ferrer C, Casas J, Pardàs M. Human Model and Motion Based 3D Action Recognition in Multiple View Scenarios. In 14th European Signal Processing Conference. 2006. pp. 1–1.
Canton-Ferrer C, Casas J, Pardàs M. Head Pose Detection based on Fusion of Multiple Viewpoint Information. In CLEAR'06 Evaluation Campaign and Workshop - Classification of Events, Activities and Relationships. 2006. pp. 305–310.
Canton-Ferrer C. Human Motion Capture with Scalable Body Models. Casas J, Pardàs M. Universitat Politècnica de Catalunya (UPC); 2009.  (13.45 MB)
Canton-Ferrer C, Casas J, Pardàs M. Human motion capture using scalable body models. Computer vision and image understanding. 2011;115:1363–1374.
Canton-Ferrer C, Casas J, Pardàs M. Head Pose Detection based on Fusion of Multiple Viewpoint Information. In Multimodal Technologies for Perception of Humans. Berlin / Heidelberg: Springer; 2007. pp. 305–310.
Chang C. Hierarchical Partition-Based Representations of Motion-Coherent Regions For Video Object Segmentation. Pardàs M, Marqués F. Universitat Politècnica de Catalunya (UPC); 2007.

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