77 citations · 371 across the 21 of their papers we have counts for
4 papers · 1 filter
Anomaly Detection with Inexact Labels
Tomoharu Iwata, Machiko Toyoda, Shotaro Tora +1
We propose a supervised anomaly detection method for data with inexact anomaly labels, where each label, which is assigned to a set of instances, indicates that at least one instan…
Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information
Maya Okawa, Tomoharu Iwata, Takeshi Kurashima +3
Predicting when and where events will occur in cities, like taxi pick-ups, crimes, and vehicle collisions, is a challenging and important problem with many applications in fields s…
Fully Neural Network based Model for General Temporal Point Processes
Takahiro Omi, Naonori Ueda, Kazuyuki Aihara
A temporal point process is a mathematical model for a time series of discrete events, which covers various applications. Recently, recurrent neural network (RNN) based models have…
The Hyper Suprime-Cam SSP Transient Survey in COSMOS: Overview
Naoki Yasuda, Masaomi Tanaka, Nozomu Tominaga +18
We present an overview of a deep transient survey of the COSMOS field with the Subaru Hyper Suprime-Cam (HSC). The survey was performed for the 1.77 deg ultra-deep layer and 5.…