Titlebook: Similarity Search and Applications; 17th International C Edgar Chávez,Benjamin Kimia,Jan Sedmidubsky Conference proceedings 2025 The Editor

Spongy-Bone

Demonstrating the Efficacy of Polyadic Querieshe user to provide explicit feedback by selecting the best few results from an intermediate set which are best suited to their original information need. A polyadic query can be formed from this set, which should give better results with a minimum of user interaction.

corn732

Expiration

Impact of the Neighborhood Parameter on Outlier Detection Algorithmse same time, and SDO the most stable in the parameterization. The findings of this work are key to understanding the intrinsic behavior of algorithms based on distance and density estimations, which remain the most efficient and reliable in anomaly detection applications.

Heart-Attack

先行

Information Dissimilarity Measures in Decentralized Knowledge Distillation: A Comparative Analysist a central server coordinating the learning process. Additionally, the paper assesses the performance of clients by comparing pairwise distillation averaging among clients to conventional peer-to-peer pairwise distillation. Results indicate that while dissimilarity measures perform comparably in ii

extinguish

An Empirical Evaluation of Search Strategies for Locality-Sensitive Hashing: Lookup, Voting, and Nattitioning based on locality-sensitive hashing. We propose a new strategy that offers more precise control over the balance between performance and quality. Our analysis highlights the trade-offs between these methods, providing insights into optimizing search efficiency in various contexts.

Congeal

On the Design of Scalable Outlier Detection Methods Using Approximate Nearest Neighbor Graphstings where the approximation is far away from the exact neighborhoods. Furthermore, we design white-box methods that compute the outlier scores directly from the underlying graph. These methods show much more variability in the quality of the outlier scores and open new ground for the development o

Needlework

carotenoids

Local Intrinsic Dimensionality and the Convergence Order of Fixed-Point Iterationoint of the iteration are unknown. Although most estimators of LID assume that the data samples are drawn from some distribution of distances to a reference point, we show how this assumption can be relaxed using the LID representation theorem. Experiments are provided for a variety of functions tha

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