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- Aaron Hertzmann, Charles E. Jacobs, Nuria Oliver, Brian Curless, David Salesin
- SIGGRAPH
- 2001
This paper describes a new framework for processing images by example, called “image analogies.” The framework involves two stages: a design phase, in which a pair of images, with one image purported… (More)
- Nuria Oliver, Barbara Rosario, Alex Pentland
- IEEE Trans. Pattern Anal. Mach. Intell.
- 2000
ÐWe describe a real-time computer vision and machine learning system for modeling and recognizing human behaviors in a visual surveillance task [1]. The system is particularly concerned with… (More)
- Matthew Brand, Nuria Oliver, Alex Pentland
- CVPR
- 1997
We present algorithms for coupling and training hidden Markov models ( HMMs) to model interacting processes, and demonstrate their superiority to conventional HMMs in a vision task classifying… (More)
Context has been recognized as an important factor to consider in personalized Recommender Systems. However, most model-based Collaborative Filtering approaches such as Matrix Factorization do not… (More)
- Nuria Oliver, Ashutosh Garg, Eric Horvitz
- Computer Vision and Image Understanding
- 2004
We present the use of layered probabilistic representations for modeling human activities, and describe how we use the representation to do sensing, learning, and inference at multiple levels of… (More)
In this paper we tackle the problem of recommendation in the scenarios with binary relevance data, when only a few (k) items are recommended to individual users. Past work on Collaborative Filtering… (More)
- Nuria Oliver, Eric Horvitz, Ashutosh Garg
- ICMI
- 2002
We present the use of layered probabilistic representations using Hidden Markov Models for performing sensing, learning, and inference at multiple levels of temporal granularity. We describe the use… (More)
In this paper, we tackle the problem of top-N context-aware recommendation for implicit feedback scenarios. We frame this challenge as a ranking problem in collaborative filtering (CF). Much of the… (More)
Information workers are often involved in multiple tasks and activities that they must perform in parallel or in rapid succession. In consequence, task management itself becomes yet another task that… (More)
Mobile instant messaging (e.g., via SMS or WhatsApp) often goes along with an expectation of high attentiveness, i.e., that the receiver will notice and read the message within a few minutes. Hence,… (More)