Exploiting semantic web technologies for recommender

They can be used for non-linear regression, time-series modelling, classification, and many other problems.

Exploiting semantic web technologies for recommender

ETS is the fastest-growing and largest engineering school in Quebec, with an expanding team of highly qualified young researchers in image analysis, one of the priority areas of the school. In addition to its vibrant, multi-cultural life style, Montreal is currently becoming a hotspot of AI worldwide, attracting major industrial players, which offers excellent placement opportunities to graduate students.

The successful candidates will work under the supervision of Prof. Prospective applicants should have a good mathematical background and excellent programming skills, including experience with a deep learning framework e.

For consideration, please send a CV to: Ismail Ben Ayed Posted on: Begum Demir Posted on: All through use of their state of the art applied mathematics, computer vision and semi supervised deep learning technology. David Bennie Posted on: Cheng Zeng Posted on: The position is part of a major Emerging Area of Research initiative by Indiana University bringing together computer scientists, cognitive scientists, and psychologists studying human and machine learning.

Applications are especially encouraged from potential faculty with synergistic interests, expertise, or collaborations relevant to learning.

Exploiting semantic web technologies for recommender

David Crandall Posted on: Provided solution will be used by Michelin. The manipulator needs precise guidance since the environment is highly constrained.

Factolab is a public-private laboratory between 3 public research laboratories Institut Pascal, Lapsco and Limos and Michelin. Candidates should email a single pdf file to youcef. Youcef Mezouar Posted on: We are looking for talented individuals with skills in computer vision, 3D reconstruction, and deep learning.

We are working on a broad range of cutting edge applications plant phenotyping, autonomous vehicles, medical imaging, human behaviour characterisation,…. Nick Barnes Posted on: Our research focuses on understanding and leveraging the role of the temporal dimension in vision.

Possible topics may include integrating motion estimation and high-level understanding tasks, creating novel architectures for temporal modeling, designing new datasets, etc. The expected period of study is 3 years. Basic understanding of current methods is preferred optical flow, video classification approaches, recurrent networks, reinforcement learning.

Interested candidates should send an application containing: CV, page research statement, 3 references, transcripts, and relevant papers to laura. We can also meet at ECCV. Laura Sevilla-Lara Posted on: They work alongside world-class Scientists, Engineers in Test and Process Engineers to deliver a variety of software components, including: Darren Adendorff Posted on: They work alongside world-class Research Scientists, Engineers in Test and Process Engineers to deliver a variety of software components, including: Come and join our world-class engineering team in the development of the next generation of our algorithms!

Publications

You will be a key player bringing advanced experience in software engineering and algorithmic development. You will work on research, cutting-edge aspects to shape the future applications of our technology. Image colour transfer and AI - new algorithms for estimating colour transfer between images and video frames University of East Anglia Norwich, UK We aim to develop new algorithms for estimating the colour transfer between two images or among a set of video frames.

These potential algorithms provide powerful applications in particular the film industry e. In mobile device video capturing apps, a video colour stabilisation is also desirable for providing a smooth and consistent colour transition between video frames.

Han Gong Posted on: Sheila Nirenberg Posted on: Nobuaki Sato Posted on: CDISE invites applications for a faculty position at the rank of Associate Professor with a tentative starting date of October later starting dates may be also considered.

Exploiting semantic web technologies for recommender

Candidates must hold a Ph. We are looking for a candidate with strong background in Computer Vision and its applications.SEMANTIC WEB TECHNOLOGIES FOR THE FINANCIAL DOMAIN Rubén Lara1, possibilities for exploiting Semantic Web technologies in the financial domain, the achieved and expected benefits therein, the problems and SEMANTIC WEB TECHNOLOGIES FOR THE FINANCIAL DOMAIN.

Exploiting Semantic Web Technologies for Recommender Systems: A Multi View Recommendation Engine (Short Paper). The 7th International Workshop on Intelligent Techniques for Web Personalization & Recommender Systems ITWP Exploiting Semantic Web Technologies for Recommender Systems: A .

Exploiting Semantic Web Technologies for Recommende r Systems A Multi View Recommendation Engine Houda OUFAIDA, Omar . Exploiting Semantic Distance in Linked Open Data for Recommendation Sultan Dawood Alfarhood University of Arkansas, Fayetteville Exploiting Semantic Distance in Linked Open Data for Recommendation LOD standards and technologies ease the task of recommender systems by.

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