Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Pythonで動物の行動データを解析する研究をするには

Pythonで動物の行動データを解析する研究をするには
2018/10/6
PyCon mini Hiroshima 2018
https://pyconjp.connpass.com/event/91821/
https://hiroshima.pycon.jp

  • Login to see the comments

Pythonで動物の行動データを解析する研究をするには

  1. 1. ∆"#$% ∆&#$% “Bicycle” ⋮ + LSTM Relative Coord. Conv. Layer ⋮ Attribute “Pedestrian” Scene Label Pavement Sidewalk Tree Grass Building tt+1" & Environment ∆&#, ∆"# + ⋮ 1 1 input (100, 100, 7) conv1 (5, 5) (48, 48, 16) ReLU • • • • • •
  2. 2. [Zhou+, IJCV2015]
  3. 3. Daisuke Ogawa, Toru Tamaki, Bisser Raytchev and Kazufumi Kaneda, Semantic segmentation of trajectories with agent models, in Proc. of The International Workshop on Frontiers of Computer Vision (FCV2018), Future University Hakodate, Hakodate, Hokkaido, Japan, February 21-23, 2018
  4. 4. Tsubasa Hirakawa, Takayoshi Yamasita, Ken Yoda, Toru Tamaki, Hironobu Fujiyoshi, "Travel Time-dependent Maximum Entropy Inverse Reinforcement Learning for Seabird Trajectory Prediction," In Proc. of Asian Conference on Pattern Recognition (ACPR2017), pp. 430-435, Nov. 2017.
  5. 5. • • • • • •
  6. 6. • • • • • • • • •
  7. 7. • •
  8. 8. • • withdraw • • fayzur20 • • rook_s_pawn • • fayzur20 (Portugal) • • rook_s_pawn (Japan) • • tanaka (Japan) • pankajvshrma (India)

×