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Page 1: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 2: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 3: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 4: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 5: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 6: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 7: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 8: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 9: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 10: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 11: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 12: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 13: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 14: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 15: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 16: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 17: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 18: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 19: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 20: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 21: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 22: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 23: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 24: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 25: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 26: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 27: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 28: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 29: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 30: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 31: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 32: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 33: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 34: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 35: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 36: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 37: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 38: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 39: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 40: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 41: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 42: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 43: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 44: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 45: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 46: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 47: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 48: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 49: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 50: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 51: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 52: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 53: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 54: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 55: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 56: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 57: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 58: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 59: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 60: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 61: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 62: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 63: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 64: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 65: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 66: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 67: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 68: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

Page 69: Microsoft · dense-CNNI dense-CNN2 sparse-CNNI sparse-CNN2 0.05 0.1 0.15 0.2 0.25 0.3 Noise 1) 2) NETWORK DENSE CNN-I DENSE CNN-2 SPARSE CNN-I SPARSE CNN-2 0.35 0.4 0.5 Networks used

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B0%ED%BC%AE%C1%D6.pdf · 2012-07-16 · PIM-SM: RFC 2117 (1997), RFC 2362 (1998) >> Protocol Independent Multicast -Sparse Mode * 멀티캐스트 라우팅 프로토콜 분류 , Dense

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