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The Technion – Israel Institute of Technology is a public research university located in Haifa, Israel. Established in 1912 under the dominion of the Ottoman Empire, the Technion is the oldest university in the country. The Technion is ranked as one of the top universities in both Israel and the Middle East, and in the world's top 100 universities in the 2022 Academic Ranking of World Universities.
Machine learning (ML) is an umbrella term for solving problems for which development of algorithms by human programmers would be cost-prohibitive, and instead the problems are solved by helping machines 'discover' their 'own' algorithms, without needing to be explicitly told what to do by any human-developed algorithms. Recently, generative artificial neural networks have been able to surpass results of many previous approaches. Machine learning approaches have been applied to large language models, computer vision, speech recognition, email filtering, agriculture and medicine, where it is too costly to develop algorithms to perform the needed tasks.
Matching pursuit (MP) is a sparse approximation algorithm which finds the "best matching" projections of multidimensional data onto the span of an over-complete dictionary . The basic idea is to approximately represent a signal from Hilbert space as a weighted sum of finitely many functions taken from . An approximation with atoms has the form
Daniela L. Rus is a roboticist and computer scientist, Director of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), and the Andrew and Erna Viterbi Professor in the Department of Electrical Engineering and Computer Science (EECS) at the Massachusetts Institute of Technology.
The University of Haifa is a university located on Mount Carmel in Haifa, Israel. Founded in 1963, the University of Haifa received full academic accreditation in 1972, becoming Israel's sixth academic institution and the fourth university. The university has the largest university library in Israel. As of 2019, approximately 18,000 students were enrolled at the University of Haifa. Among Israeli higher education institutions the University of Haifa has the largest percentage (41%) of Arab-Israeli students.
Learning to rank or machine-learned ranking (MLR) is the application of machine learning, typically supervised, semi-supervised or reinforcement learning, in the construction of ranking models for information retrieval systems. Training data consists of lists of items with some partial order specified between items in each list. This order is typically induced by giving a numerical or ordinal score or a binary judgment for each item. The goal of constructing the ranking model is to rank new, unseen lists in a similar way to rankings in the training data.
In machine learning, feature learning or representation learning is a set of techniques that allows a system to automatically discover the representations needed for feature detection or classification from raw data. This replaces manual feature engineering and allows a machine to both learn the features and use them to perform a specific task.
In applied mathematics, k-SVD is a dictionary learning algorithm for creating a dictionary for sparse representations, via a singular value decomposition approach. k-SVD is a generalization of the k-means clustering method, and it works by iteratively alternating between sparse coding the input data based on the current dictionary, and updating the atoms in the dictionary to better fit the data. It is structurally related to the expectation maximization (EM) algorithm. k-SVD can be found widely in use in applications such as image processing, audio processing, biology, and document analysis.
Katherine "Kathy" Anne Yelick, an American computer scientist, is the vice chancellor for research and the Robert S. Pepper Professor of Electrical Engineering and Computer Sciences at the University of California, Berkeley. She is also a faculty scientist at Lawrence Berkeley National Laboratory, where she was Associate Laboratory Director for Computing Sciences from 2010-2019.
Gad Menahem Landau is an Israeli computer scientist noted for his contributions to combinatorial pattern matching and string algorithms and is the founding department chair of the Computer Science Department at the University of Haifa.
Yoelle Maarek is a Tunisian-born Israeli computer scientist. She is the Vice President of Worldwide Research at Amazon, responsible for Amazon's Alexa Shopping Research. Maarek is a researcher in the field of search engines and data mining, and a former vice president at Yahoo! and Director of Yahoo! in Israel and in India. Maarek was the first engineer of Google Israel and established the first development center in Haifa in 2006.
Sparse dictionary learning is a representation learning method which aims at finding a sparse representation of the input data in the form of a linear combination of basic elements as well as those basic elements themselves. These elements are called atoms and they compose a dictionary. Atoms in the dictionary are not required to be orthogonal, and they may be an over-complete spanning set. This problem setup also allows the dimensionality of the signals being represented to be higher than the one of the signals being observed. The above two properties lead to having seemingly redundant atoms that allow multiple representations of the same signal but also provide an improvement in sparsity and flexibility of the representation.
Michael Elad is a professor of Computer Science at the Technion - Israel Institute of Technology. His work includes fundamental contributions in the field of sparse representations, and deployment of these ideas to algorithms and applications in signal processing, image processing and machine learning.
Edith Cohen is an Israeli and American computer scientist specializing in data mining and algorithms for big data. She is also known for her research on peer-to-peer networks. She works for Google in Mountain View, California, and as a visiting professor at Tel Aviv University in Israel.
Namrata Vaswani is an Indian-American electrical engineer known for her research in compressed sensing, robust principal component analysis, signal processing, statistical learning theory, and computer vision. She is a Joseph and Elizabeth Anderlik Professor in Electrical and Computer Engineering at Iowa State University, and a professor of mathematics at Iowa State.
Michal Feldman is a full professor of Computer Science and the Chair of Computation and Economics at Tel Aviv University, the head of Economics and Computation (EC) lab, and a visiting researcher in Microsoft Research Israel. Michal’s research focuses on algorithmic game theory, an area that lies in the intersection of computer science, microeconomics and game theory. Among other topics, she studies auction theory, mechanism design, algorithm design, the price of anarchy, and e-commerce. Michal is an alumna of the Israel Young Academy and of the Global Young Academy. Her research is funded by prestigious grants, including, among others, grants of the ERC : ERC starters and ERC consolidator, ISF grants, and an Amazon Research Award. She was selected by the Forbes magazine as one of the most influencing women in Israel in 2016., and is the recipient of the Kadar Award, Bruno Award, and ACM SIGecom mid-career Award.
Michal Parnas is an Israeli theoretical computer scientist known for her work on property testing and sublinear-time algorithms. She is a professor of computer science at the Academic College of Tel Aviv-Yafo in Israel, where she was a founding faculty member and was also the dean of the school of computer science from 2011 to 2016. Since October 2022 she is the vice president of academic affairs of the college.
Joseph (Yossi) Keshet is an Israeli professor in the Electrical and Computer Engineering Faculty of the Technion.
Sorelle Alaina Friedler is an American computer scientist who is an Associate Professor at Haverford College. She is the co-founder Association for Computing Machinery Conference on Fairness, Accountability, and Transparency. Her research seeks to prevent discrimination in machine learning.
Diyi Yang is a Chinese computer scientist and assistant professor of computer science at Stanford University. Her research combines linguistics and social sciences with machine learning to address social problems like online harassment, as well as user-centered text generation and learning with limited data.
References
- ↑ "Michal Aharon", IEEE Xplore, IEEE, retrieved 2022-01-27
- ↑ Michal Aharon at the Mathematics Genealogy Project
- ↑ "Speaker biographies", DMBI 2017, retrieved 2022-01-27
