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The Memory Jog Service. In Computers in the Human Interaction Loop. London: Springer; 2009. pp. 207–234.
. Metadata-based coding tools for hybrid video codecs. In Picture Coding Symposium, PCS 2003. Saint-Malo, France; 2003. pp. 473–477. (50.67 KB)
. Method for upscaling an image and apparatus for upscaling an image. US 20170132759 A1; 2018.
. . . A method, system and computer programs to automatically transform an image. European Patent Office. 2022.
. Metric Learning from Poses for Temporal Clustering of Human Motion. In British Machine Vision Conference 2012. Guildford, UK; 2012.
. Microarray classification with hierarchical data representation and novel feature selection criteria. In IEEE 12th International Conference on BioInformatics and BioEngineering. Larnaca, Cyprus; 2012. (513.59 KB)
. MIT is building a system that can identify a recipe using pictures of food. Techcrunch; 2017.
. Mixed integration of CDIO skills into telecommunication engineering curricula. Elektronika ir elektrotechnika. 2010;102(6):127–130.
. Mobile Visual Search at Catchoom. . 2014.
. Mode dependent vector quantization with a rate-distortion optimized codebook for residue coding in video compression. In IEEE Int. Conf. on Acoustics Speech and Signal Processing, ICASSP 2015. Brisbane, Australia: IEEE; 2015. (287.4 KB)
. Model Zoos: A Dataset of Diverse Populations of Neural Network Models. In NeurIPS 2022 Track Datasets and Benchmarks. New Orleans, Louisiana, USA.; 2022. (937.59 KB)
. Model Zoos: A Dataset of Diverse Populations of Neural Network Models. In NeurIPS. 2022. (937.59 KB)
. Model-based hand gesture tracking in ToF image sequences. Lecture notes in computer science. 2010;6169/2010:118–127.
. Model-Based Recognition of Human Actions by Trajectory Matching in Phase Spaces. Image and Vision Computing. 2012;. (960.26 KB)
. Modeling of contours in wavelet domain for generalized lifting image compression. In IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009. Taipei, Taiwan; 2009. (226.33 KB)
. Monocular Depth by Nonlinear Diffusion. In IEEE Sixth Indian Conference on Computer Vision, Graphics & Image Processing, ICVGIP 2008. Bhubaneswar, India; 2008. pp. 140–148. (664.12 KB)
. Monocular Depth Estimation for Image Segmentation and Filtering. . Universitat Politècnica de Catalunya (UPC); 2009.
. Monocular Depth Estimation in Images and Sequences using Occlusion Cues. . Signal Theory and Communications. 2014. p. 250. (107.61 MB)
. Monocular Depth Ordering Using Occlusion Cues. Barcelona: Technical University of Catalonia; 2011 .
. Monocular Depth Ordering Using T-junctions and Convexity Occlusion Cues. IEEE Transactions on Image Processing. 2013;22(5): 1926 - 1939 . (2.64 MB)
. Monte-Carlo Sampling applied to Multiple Instance Learning for Histological Image Classification. In Workshop on Deep Learning in Medical Image Analysis, MICCAI. Granada, Spain; 2018.
. Monte-Carlo Sampling Applied to Multiple Instance Learning for Histological Image Classification. In Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support. Springer International Publishing; 2018. pp. 274-281.
. Monte-Carlo Sampling applied to Multiple Instance Learning for Whole Slide Image Classification. In International Conference on Medical Imaging with Deep Learning. Amsterdam, The Netherlands; 2018.
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