His primary scientific interests are in Artificial intelligence, Machine learning, Set, Data mining and Hidden Markov model. His Artificial intelligence study combines topics in areas such as Computer vision and Pattern recognition. When carried out as part of a general Machine learning research project, his work on Feature is frequently linked to work in Behavioral pattern, therefore connecting diverse disciplines of study.
His Set research incorporates elements of Nonverbal communication, Natural language processing, Video tracking and Ambient intelligence, Human–computer interaction. In general Data mining study, his work on Data visualization often relates to the realm of GSM, Mobility prediction and Protocol, thereby connecting several areas of interest. The concepts of his Hidden Markov model study are interwoven with issues in Markov model and Speech processing.
Artificial intelligence, Multimedia, Nonverbal communication, Machine learning and World Wide Web are his primary areas of study. His Artificial intelligence research includes themes of Natural language processing, Computer vision and Pattern recognition. His Multimedia study incorporates themes from Crowdsourcing, Social media, Session and Personality.
His Nonverbal communication study which covers Human–computer interaction that intersects with Nonverbal behavior. His study in the field of Unsupervised learning is also linked to topics like Phone. His Probabilistic logic research integrates issues from Topic model and Data mining.
Daniel Gatica-Perez mainly investigates Artificial intelligence, Crowdsourcing, Ubiquitous computing, Social media and Nightlife. His Artificial intelligence research incorporates themes from Machine learning and Pattern recognition. His biological study spans a wide range of topics, including Image and Computation.
His Crowdsourcing study also includes fields such as
His scientific interests lie mostly in Ubiquitous computing, Social media, Nightlife, Human–computer interaction and Crowdsourcing. Daniel Gatica-Perez works mostly in the field of Ubiquitous computing, limiting it down to topics relating to Computer security and, in certain cases, Support vector machine, Set and Real-time computing. His Social media study integrates concerns from other disciplines, such as Multimedia, Advertising, Inference and Categorization.
The Multimedia study combines topics in areas such as Social computing, Scale, Nonverbal communication, Internship and Visual perception. He has researched Human–computer interaction in several fields, including Probabilistic logic, Anomaly detection and Statistical model. His study with Crowdsourcing involves better knowledge in World Wide Web.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
The Mobile Data Challenge: Big Data for Mobile Computing Research
J. K. Laurila;Daniel Gatica-Perez;I. Aad;Blom J..
Pervasive Computing (2012)
Modeling scenes with local descriptors and latent aspects
P. Quelhas;F. Monay;J.-M. Odobez;D. Gatica-Perez.
international conference on computer vision (2005)
StressSense: detecting stress in unconstrained acoustic environments using smartphones
Hong Lu;Denise Frauendorfer;Mashfiqui Rabbi;Marianne Schmid Mast.
ubiquitous computing (2012)
Automatic analysis of multimodal group actions in meetings
L. McCowan;D. Gatica-Perez;S. Bengio;G. Lathoud.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2005)
Mining large-scale smartphone data for personality studies
Gokul Chittaranjan;Jan Blom;Daniel Gatica-Perez.
ubiquitous computing (2013)
On image auto-annotation with latent space models
Florent Monay;Daniel Gatica-Perez.
acm multimedia (2003)
Towards rich mobile phone datasets: Lausanne data collection campaign
N. Kiukkonen;Blom J.;O. Dousse;Daniel Gatica-Perez.
Proc. ACM Int. Conf. on Pervasive Services (ICPS), Berlin. (2010)
Semi-supervised adapted HMMs for unusual event detection
Dong Zhang;D. Gatica-Perez;S. Bengio;I. McCowan.
computer vision and pattern recognition (2005)
Automatic nonverbal analysis of social interaction in small groups
Image and Vision Computing (2009)
PLSA-based image auto-annotation: constraining the latent space
Florent Monay;Daniel Gatica-Perez.
acm multimedia (2004)
Profile was last updated on December 6th, 2021.
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