At Flickr, we understand that the value in our image corpus is only unlocked when our members can find photos and photographers that inspire them, so we strive to enable the discovery and appreciation of new photos. To further that effort, today we are introducing similarity search on Flickr. If you hover over a photo on a search result page, you will reveal a “…” button that exposes a menu that g
Faiss contains several methods for similarity search. It assumes that the instances are represented as vectors and are identified by an integer, and that the vectors can be compared with L2 (Euclidean) distances or dot products. Vectors that are similar to a query vector are those that have the lowest L2 distance or the highest dot product with the query vector. It also supports cosine similarity,
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Time series often contain noise, redundancies or irrelevant information. As a result most of the extracted features will not be useful for the machine learning task at hand. To avoid extracting irrelevant features, the TSFRESH package has a built-in filtering procedure. This filtering procedure evaluates the explaining power and importance of each characteristic for the regression or classificatio
Welcome to the Monte Carlo Tree Search (MCTS) research hub. The aim of this site is to provide a convenient reference point for MCTS material on the internet, to aid researchers in the area. This is an initiative of the £1.5m EPSRC project UCT for Games and Beyond. Please to submit corrections and additions. Crazy Time is Evolution Gaming's popular game show with a Money Wheel of Fortune and four
The GENIE and LAMP project aims to provide a systematic investigation into the use of semi-lazy learning for predictive analytics. GENIE (GENeric InvErted index)) is a unified platform to support storage and retrieve of Big Data with various types of structure. LAMP (semi-LAzy Mining Paradigm) is a new data mining paradigm for predictive analytics, which essentially follows the lazy learning parad
Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Networks Jul 15, 2022 (Noam Razin). The ability of large neural networks to generalize is commonly believed to stem from an implicit regularization — a tendency... Continue Predicting Generalization using GANs Jun 6, 2022 (Sanjeev Arora and Yi Zhang). A central problem of generalization theory is the following: Giv
The tutorial slides about Learning to Hash, provided by Dr. Wu-Jun LI, can be downloaded from http://cs.nju.edu.cn/lwj/slides/L2H.pdf Similarity Search in High Dimensions via Hashing [paper] Aristides Gionis, Piotr Indyk and Rajeev Motwani. [VLDB], 1999. Locality-Sensitive Hashing Scheme Based on p-Stable Distributions [paper] Mayur Datar, Nicole Immorlica, Piotr Indyk, Vahab S. Mirrokni. [SCG], 2
PSCMModel is a small set of Python scripts for the user click models based on Yandex version (https://github.com/varepsilon/clickmodels). A Click Model is a probabilistic graphical model used to predict search engine click data from past observations. This project is aimed to implement recently proposed click models and intended to be easy-to-read and easy-to-modify. If it's not, please let me kno
SIGMOD 2015 TUTORIAL Mining and Forecasting of Big Time-series Data Yasushi Sakurai, Yasuko Matsubara (Kumamoto U) and Christos Faloutsos (CMU/SCS) Description Description (pdf): [PDF] Abstract: Given a large collection of time series, such as web-click logs, electric medical records and motion capture sensors, how can we efficiently and effectively find typical patterns? How can we statistically
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